Alternatives to GPT‑5-Codex

Compare GPT‑5-Codex alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to GPT‑5-Codex in 2026. Compare features, ratings, user reviews, pricing, and more from GPT‑5-Codex competitors and alternatives in order to make an informed decision for your business.

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    Amp

    Amp

    Amp Code

    Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.
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    Claude Code

    Claude Code

    Anthropic

    Claude Code is an AI-powered coding agent designed to work directly inside your existing development environment. It goes beyond simple autocomplete by understanding entire codebases and helping developers build, debug, refactor, and ship features faster. Developers can interact with Claude Code from the terminal, IDEs, Slack, or the web, making it easy to stay in flow without switching tools. By describing tasks in natural language, users can let Claude handle code exploration, modifications, and explanations. Claude Code can analyze project structure, dependencies, and architecture to onboard developers quickly. It integrates with common command-line tools, version control systems, and testing workflows. This makes it a powerful companion for both individual developers and teams working on complex software projects.
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    BLACKBOX AI

    BLACKBOX AI

    BLACKBOX AI

    BLACKBOX AI is an advanced AI-powered platform designed to accelerate coding, app development, and deep research tasks. It features an AI Coding Agent that supports real-time voice interaction, GPU acceleration, and remote parallel task execution. Users can convert Figma designs into functional code and transform images into web applications with minimal coding effort. The platform enables screen sharing within IDEs like VSCode and offers mobile access to coding agents. BLACKBOX AI also supports integration with GitHub repositories for streamlined remote workflows. Its capabilities extend to website design, app building with PDF context, and image generation and editing.
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    Claude Haiku 4.5
    Anthropic has launched Claude Haiku 4.5, its latest small-language model designed to deliver near-frontier performance at significantly lower cost. The model provides similar coding and reasoning quality as the company’s mid-tier Sonnet 4, yet it runs at roughly one-third of the cost and more than twice the speed. In benchmarks cited by Anthropic, Haiku 4.5 meets or exceeds Sonnet 4’s performance in key tasks such as code generation and multi-step “computer use” workflows. It is optimized for real-time, low-latency scenarios such as chat assistants, customer service agents, and pair-programming support. Haiku 4.5 is made available via the Claude API under the identifier “claude-haiku-4-5” and supports large-scale deployments where cost, responsiveness, and near-frontier intelligence matter. Claude Haiku 4.5 is available now on Claude Code and our apps. Its efficiency means you can accomplish more within your usage limits while maintaining premium model performance.
    Starting Price: $1 per million input tokens
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    Claude Sonnet 4.5
    Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection.
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    GPT-5-Codex-Mini
    GPT-5-Codex-Mini is a compact and cost-efficient version of GPT-5-Codex designed to deliver roughly four times more usage with only a slight tradeoff in capability. It’s optimized for handling routine or lighter programming tasks while maintaining reliable output quality. Developers can access it through the CLI and IDE extension by signing in with ChatGPT, with API access coming soon. The system automatically suggests switching to GPT-5-Codex-Mini when users near 90% of their rate limits, helping extend uninterrupted usage. ChatGPT Plus, Business, and Edu users receive 50% higher rate limits, offering more flexibility for frequent workflows. Pro and Enterprise accounts are prioritized for faster processing, ensuring smoother, high-speed performance across larger workloads.
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    GPT-5.1-Codex
    GPT-5.1-Codex is a specialized version of the GPT-5.1 model built for software engineering and agentic coding workflows. It is optimized for both interactive development sessions and long-horizon, autonomous execution of complex engineering tasks, such as building projects from scratch, developing features, debugging, performing large-scale refactoring, and code review. It supports tool-use, integrates naturally with developer environments, and adapts reasoning effort dynamically, moving quickly on simple tasks while spending more time on deep ones. The model is described as producing cleaner and higher-quality code outputs compared to general models, with closer adherence to developer instructions and fewer hallucinations. GPT-5.1-Codex is available via the Responses API route (rather than a standard chat API) and comes in variants including “mini” for cost-sensitive usage and “max” for the highest capability.
    Starting Price: $1.25 per input
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    GPT-5.1-Codex-Max
    GPT-5.1-Codex-Max is the high-capability variant of the GPT-5.1-Codex series designed specifically for software engineering and agentic code workflows. It builds on the base GPT-5.1 architecture with a focus on long-horizon tasks such as full project generation, large-scale refactoring, and autonomous multi-step bug and test management. It introduces adaptive reasoning, meaning the system dynamically allocates more compute for complex problems and less for simpler ones, to improve efficiency and output quality. It also supports tool use (IDE-integrated workflows, version control, CI/CD pipelines) and offers higher fidelity in code review, debugging, and agentic behavior than general-purpose models. Alongside Max, there are lighter variants such as Codex-Mini for cost-sensitive or scale use-cases. The GPT-5.1-Codex family is available in developer previews, including via integrations like GitHub Copilot.
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    Grok Code Fast 1
    Grok Code Fast 1 is a high-speed, economical reasoning model designed specifically for agentic coding workflows. Unlike traditional models that can feel slow in tool-based loops, it delivers near-instant responses, excelling in everyday software development tasks. Built from scratch with a programming-rich corpus and refined on real-world pull requests, it supports languages like TypeScript, Python, Java, Rust, C++, and Go. Developers can use it for everything from zero-to-one project building to precise bug fixes and codebase Q&A. With optimized inference and caching techniques, it achieves impressive responsiveness and a 90%+ cache hit rate when integrated with partners like GitHub Copilot, Cursor, and Cline. Offered at just $0.20 per million input tokens and $1.50 per million output tokens, Grok Code Fast 1 strikes a strong balance between speed, performance, and affordability.
    Starting Price: $0.20 per million input tokens
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    GPT-5.2-Codex
    GPT-5.2-Codex is OpenAI’s most advanced agentic coding model, built for complex, real-world software engineering and defensive cybersecurity work. It is a specialized version of GPT-5.2 optimized for long-horizon coding tasks such as large refactors, migrations, and feature development. The model maintains full context over extended sessions through native context compaction. GPT-5.2-Codex delivers state-of-the-art performance on benchmarks like SWE-Bench Pro and Terminal-Bench 2.0. It operates reliably across large repositories and native Windows environments. Stronger vision capabilities allow it to interpret screenshots, diagrams, and UI designs during development. GPT-5.2-Codex is designed to be a dependable partner for professional engineering workflows.
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    GPT-5.3-Codex
    GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, designed to handle complex professional work on a computer. It combines frontier-level coding performance with advanced reasoning and real-world task execution. The model is faster than previous Codex versions and can manage long-running tasks involving research, tools, and deployment. GPT-5.3-Codex supports real-time interaction, allowing users to steer progress without losing context. It excels at software engineering, web development, and terminal-based workflows. Beyond code generation, it assists with debugging, documentation, testing, and analysis. GPT-5.3-Codex acts as an interactive collaborator rather than a single-turn coding tool.
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    GPT‑5.3‑Codex‑Spark
    GPT-5.3-Codex-Spark is an ultra-fast coding model designed for real-time collaboration inside Codex. Built as a smaller version of GPT-5.3-Codex, it delivers over 1000 tokens per second when served on low-latency Cerebras hardware. The model is optimized for interactive coding tasks, enabling developers to make targeted edits and see results almost instantly. With a 128k context window, Codex-Spark supports substantial project context while maintaining speed. It focuses on lightweight, precise edits and does not automatically run tests unless prompted. Infrastructure upgrades such as persistent WebSocket connections significantly reduce latency across the full request-response pipeline. Released as a research preview for ChatGPT Pro users, Codex-Spark marks the first milestone in OpenAI’s partnership with Cerebras.
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    OpenAI Codex
    OpenAI Codex is an AI-powered coding agent from OpenAI designed to help developers build, refactor, and ship software more efficiently. It works as a collaborative coding partner that can understand entire codebases and execute complex tasks from start to finish. Codex supports multi-agent workflows, enabling parallel work across projects to accelerate development timelines. The platform integrates with tools like IDEs, terminals, and cloud environments, allowing developers to work seamlessly across different interfaces. It can automate tasks such as code generation, testing, debugging, and pull request creation. With built-in automations, Codex can handle background processes like issue triage and CI/CD monitoring without constant input. Overall, Codex enhances productivity by combining intelligent automation with deep code understanding to streamline the development process.
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    Codex Security
    Codex Security is an AI-powered application security agent developed by OpenAI to help teams detect and fix vulnerabilities in software systems. The tool analyzes code repositories to understand the structure, architecture, and potential risk areas within a project. Using this context, it identifies complex security issues that traditional scanning tools might overlook. Codex Security prioritizes vulnerabilities based on their real-world impact, helping security teams focus on the most critical threats. The system also validates findings through sandboxed testing environments to reduce false positives and improve accuracy. Once vulnerabilities are confirmed, it proposes patches and remediation steps that align with the system’s existing behavior. By combining AI reasoning with automated validation, Codex Security helps development teams ship more secure code faster.
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    Codex CLI
    Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.
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    CodeGen

    CodeGen

    Salesforce

    CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
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    JetBrains Air

    JetBrains Air

    JetBrains

    Air is an agentic development environment created by JetBrains that allows developers to delegate coding tasks to multiple AI agents and manage them within a single, unified workspace. Instead of functioning as a simple chat-based assistant, it is designed as a full development environment where tools are built around AI agents, enabling users to guide, supervise, and refine their output more effectively. Developers can run several agents concurrently, each working on different tasks in isolated environments, which helps prevent conflicts and improves productivity when handling complex projects. It supports integration with multiple AI systems such as Claude, Gemini, Codex, and other coding agents, allowing flexible, model-agnostic workflows within the same interface. Users can define tasks with rich context by referencing specific files, commits, classes, or code elements, ensuring that the agents generate more accurate and relevant results based on the actual codebase.
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    Code Snippets AI

    Code Snippets AI

    Code Snippets AI

    Turn your questions into code. Easily store and fetch your snippets. Collaborate with your team. Powered by ChatGPT & our fine-tuned GPT3 model. Gain a deeper understanding of your code to further your knowledge. Increase the quality of your code with our refactor and debug features. Securely share code snippets with your team, without losing formatting. We use ChatGPT & our fine-tuned GPT3 Model, which provides faster and more accurate responses to your questions, compared to Codex apps. Create documentation, refactor, debug, and generate code with the click of a button. We use a fine-tuned AI model trained on GPT3, which provides faster and more accurate responses to your questions, compared to Codex apps. Save your code from your IDE straight into your library with our VSCode extension. Search snippets by language, name, or folder. Create your own folder structure to suit your needs. We use ChatGPT & our fine-tuned GPT3 Model, which provides faster and more accurate responses.
    Starting Price: $2 per month
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    StarCoder

    StarCoder

    BigCode

    StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.
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    Emdash

    Emdash

    Emdash

    Emdash is an orchestration layer that lets you run multiple coding agents in parallel, each in its own isolated Git worktree, so you can simultaneously spin up different agents to tackle independent subtasks or experiments without interference. It’s provider-agnostic, meaning you can pick from various AI models and CLIs (for example, Claude Code, Codex, and others) to fit your workflow. With Emdash, you can assign issues or tickets (from Linear, GitHub, or Jira) directly to a chosen agent, then watch multiple agents operate side by side in real time. The UI shows live agent status and activity, and once agents generate code, you can review diffs, comment, and open pull requests, all without leaving Emdash. Because every agent runs in a separate worktree, changes stay sandboxed and comparable, enabling you to test different implementations or strategies side-by-side safely.
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    GPT-4.1

    GPT-4.1

    OpenAI

    GPT-4.1 is an advanced AI model from OpenAI, designed to enhance performance across key tasks such as coding, instruction following, and long-context comprehension. With a large context window of up to 1 million tokens, GPT-4.1 can process and understand extensive datasets, making it ideal for tasks like software development, document analysis, and AI agent workflows. Available through the API, GPT-4.1 offers significant improvements over previous models, excelling at real-world applications where efficiency and accuracy are crucial.
    Starting Price: $2 per 1M tokens (input)
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    CodeX

    CodeX

    SmallDay IT Services

    CodexPro is a revolutionary coding assessment solution designed for hiring managers and educational institutes. With an intuitive interface, CodexPro simplifies the evaluation process for both assessors and candidates, making it easy to navigate and evaluate coding skills efficiently. In addition to coding assessments, CodexPro offers English tests, Data Interpretation tests, Arithmetic tests, and Logical Reasoning tests, other essential skills for the industry. This comprehensive suite ensures thorough assessment across multiple domains, providing a holistic view of skills and knowledge. CodexPro stands out for its precision. Accurate evaluations are crucial for selecting candidates or gauging students' progress. Our platform offers industry-relevant coding challenges, advanced analytics, and insightful reports to gain deep insights into performance, strengths, and areas for improvement.
    Starting Price: Free 200 candidates per month
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    Polyscope

    Polyscope

    Beyond Code

    Polyscope is an agent-first development environment designed to orchestrate and run multiple AI coding agents in parallel, allowing developers to automate complex software engineering workflows. It works with advanced coding models such as Claude Code and OpenAI Codex, enabling users to launch several agents simultaneously while maintaining separate, isolated workspaces for each task. Each agent operates inside its own copy-on-write environment, which allows the system to safely experiment with different approaches, modify files, and test changes without affecting the original project. It enables developers to run dozens of AI agents concurrently to generate code, analyze repositories, perform debugging, or experiment with alternative solutions across the same codebase. Itis delivered as a native macOS tool designed for high-performance agent execution, giving engineers a centralized interface to observe agent progress and manage tasks.
    Starting Price: $99 per year
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    Cosyra

    Cosyra

    Cosyra

    Cosyra is a mobile-first cloud development environment that enables users to run AI-powered coding tools directly from their phone through a full Linux terminal. It allows developers to use tools such as Claude Code, Codex CLI, OpenCode, and Gemini CLI, all pre-installed and ready to run by simply adding an API key and opening the terminal. It provides an isolated Ubuntu container with essential development tools, including Node.js, Python, Git, tmux, and vim, along with 30 GB of persistent storage that contains data between sessions. Cosyra is designed to replicate the experience of working on a local machine, allowing users to build, test, and manage projects entirely from a mobile device. It supports workflows such as cloning repositories, reviewing pull requests, running tests, and deploying code, all within a persistent session that can hibernate and resume seamlessly.
    Starting Price: $29.99 per month
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    CoinCodex

    CoinCodex

    CoinCodex

    CoinCodex is your all-in-one platform for real-time financial data, market insights, and investment tools. Track more than 40,000 cryptocurrencies with detailed charts, live prices, market caps, trading volumes, all-time highs, and customizable time frames. Compare multiple coins on a single chart or explore full historical price data for deeper analysis. Beyond crypto, CoinCodex also provides live pricing and forecasts for stocks, forex, gold, and silver, giving you a complete overview of global markets in one place. To support your investment strategy, CoinCodex includes a portfolio tracker, extensive historical datasets, and a suite of financial calculators that help you analyze performance, plan investments, and make informed decisions.
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    PlayerZero

    PlayerZero

    PlayerZero

    PlayerZero is an AI-driven predictive quality platform designed to help engineering, QA, and support teams monitor, diagnose, and resolve software issues before they impact customers by deeply understanding complex codebases and simulating how code will behave in real-world conditions. It applies proprietary AI models and semantic graph analysis to integrate signals from source code, runtime telemetry, customer tickets, documentation, and historical data, giving users unified, context-rich insights into what their software does, why it’s broken, and how to fix or improve it. Its agentic debugging agents can autonomously triage, root cause analyze, and even suggest fixes for issues, reducing escalations and accelerating resolution times while preserving audit trails, governance, and approval workflows. PlayerZero also includes CodeSim, an agentic code simulation capability powered by the Sim-1 model that predicts the impact of changes.
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    Mistral Vibe

    Mistral Vibe

    Mistral AI

    Mistral Vibe is an agentic coding platform developed by Mistral AI that helps developers write, test, and deploy software more efficiently. The system uses specialized AI coding models that understand the full context of a project’s codebase to provide intelligent suggestions and automation. Developers can interact with Vibe through the terminal, IDE extensions, or automated agents that work asynchronously. The platform supports tasks such as code generation, debugging, documentation creation, and test generation. Vibe can analyze entire repositories to refactor code, translate legacy systems to modern stacks, and optimize performance. It integrates with development tools like GitHub, GitLab, and project management platforms to provide contextual insights during development. By combining autonomous coding agents with deep project awareness, Mistral Vibe enables teams to accelerate development while maintaining code quality.
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    Leanstral

    Leanstral

    Mistral AI

    Leanstral is an open-source code agent developed by Mistral AI specifically designed to work with the Lean 4 proof assistant. The model focuses on generating code while also formally verifying its correctness against strict mathematical or software specifications. Unlike traditional coding assistants, Leanstral integrates directly with formal proof systems to ensure that generated code satisfies defined logical requirements. Its architecture is optimized for proof engineering tasks and operates efficiently with sparse model parameters. Leanstral is released under the Apache 2.0 license, making it freely accessible for developers, researchers, and organizations to use and customize. The model is designed to operate within real-world formal repositories rather than isolated problem environments. By combining code generation with formal verification, Leanstral aims to reduce the need for manual human review in complex software and mathematical development.
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    Devin

    Devin

    Cognition AI

    Devin is an AI-driven software development assistant designed to collaborate with engineering teams to automate and accelerate coding tasks. It helps with tasks like setting up repositories, writing code, debugging, and performing migrations, all while working autonomously or alongside human developers. Devin is capable of learning from examples, making it more efficient over time. Its use has led to significant time and cost savings in large-scale projects, as seen in its deployment at Nubank, where it delivered 8-12x faster migrations and reduced costs by over 20x. Devin is particularly useful in refactoring and automating repetitive engineering tasks.
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    ui.sh

    ui.sh

    ui.sh

    ui.sh is a terminal-first toolkit designed to help coding assistants generate high-quality user interfaces directly from the developer’s workflow, positioning itself as a way to “turn your terminal into a design engineer.” It is built specifically for use with AI coding tools such as Claude Code, Cursor, Codex, and similar agents, enabling them to produce better UI outputs without requiring separate design tools or manual iteration. It focuses on improving the quality of interfaces generated by AI by providing a structured system that guides layout, styling, and usability, helping developers avoid poorly designed or inconsistent UI results. It integrates directly into terminal-based workflows, allowing developers to prompt UI creation, iterate on designs, and refine components in real time within their existing development environment. Built by the creators of Tailwind CSS and Refactoring UI, the tool emphasizes clean, production-ready design output.
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    VibeKit

    VibeKit

    VibeKit

    VibeKit is a simple, open source SDK for safely running Codex and Claude Code agents in secure, customizable sandboxes. It enables you to embed coding agents directly in your app or workflow via a drop‑in SDK. import VibeKit and VibeKitConfig, and call generateCode with prompts, modes, and streaming callbacks for live output handling. VibeKit runs code in fully isolated private sandboxes, supports customizable environments where you can install packages, and is model‑agnostic, letting you choose any compatible Codex or Claude model. It streams agent output efficiently, maintains full prompt and code history, provides async run handling, integrates with GitHub for commits, branches, and pull requests, and supports telemetry and tracing (via OpenTelemetry). Compatible sandbox providers include E2B (today), with Daytona, Modal, Fly.io, and others coming soon, plus support for any runtime that meets your security needs.
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    Charlie

    Charlie

    Charlie Labs

    Charlie Labs offers Charlie, an AI-powered autonomous engineering assistant that helps software teams ship code faster by automating coding tasks, pull request reviews, bug fixes, feature implementation, and other development work directly within existing workflows. Charlie integrates seamlessly with tools developers already use, such as GitHub, Slack, Linear, Sentry, and Vercel, and operates where work happens by listening for events like pull requests or mentions, then generating high-quality TypeScript code, opening or updating branches, and creating pull requests with clean commits and passing tests without manual intervention. It can catch bugs, provide actionable inline feedback, produce feature code and refactor from issue descriptions, and respond to natural language requests within team communication tools so engineers can focus on strategy and design instead of repetitive implementation tasks.
    Starting Price: $500 per month
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    SERA

    SERA

    Ai2

    Open Coding Agents are a family of fully open, high-performance AI coding models and an associated training method released by the Allen Institute for AI that make building, customizing, and training coding agents on any repository remarkably accessible, affordable, and transparent; the platform includes models, code, training recipes, and tools that can be launched with minimal setup so users can tailor agents to their own codebases and engineering conventions for tasks like code generation, code review, debugging, maintenance, and code explanation. These agents break from the traditional closed, expensive systems by offering an open pipeline from models to training data and enabling fine-tuning on internal code to teach agents about organization-specific APIs, patterns, and workflows; the first release, SERA (Soft-verified Efficient Repository Agents), achieves state-of-the-art performance on coding benchmarks at a fraction of the typical compute cost.
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    Devstral 2

    Devstral 2

    Mistral AI

    Devstral 2 is a next-generation, open source agentic AI model tailored for software engineering: it doesn’t just suggest code snippets, it understands and acts across entire codebases, enabling multi-file edits, bug fixes, refactoring, dependency resolution, and context-aware code generation. The Devstral 2 family includes a large 123-billion-parameter model as well as a smaller 24-billion-parameter variant (“Devstral Small 2”), giving teams flexibility; the larger model excels in heavy-duty coding tasks requiring deep context, while the smaller one can run on more modest hardware. With a vast context window of up to 256 K tokens, Devstral 2 can reason across extensive repositories, track project history, and maintain a consistent understanding of lengthy files, an advantage for complex, real-world projects. The CLI tracks project metadata, Git statuses, and directory structure to give the model context, making “vibe-coding” more powerful.
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    Claude Opus 4.6
    Claude Opus 4.6 is an advanced AI model developed by Anthropic, designed for high-level reasoning, coding, and knowledge work tasks. It introduces significant improvements in coding, debugging, and code review capabilities. The model can handle long, complex workflows and sustain agentic tasks with greater reliability. It features a 1 million token context window in beta, enabling it to process and retain large amounts of information. Claude Opus 4.6 is optimized for tasks such as financial analysis, research, and document creation. It also integrates with tools like Excel and PowerPoint for enhanced productivity. Overall, it is a state-of-the-art AI model built for complex, real-world professional applications.
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    Goose

    Goose

    Block

    Goose is an open-source, on-machine AI agent designed to automate engineering tasks directly within your terminal or integrated development environment (IDE). Operating locally, it efficiently executes tasks such as code generation, debugging, and deployment, allowing developers to focus on higher-level problem-solving. Goose's extensible architecture enables customization with preferred large language models (LLMs) and integration with external APIs, enhancing its capabilities to suit diverse project requirements. By autonomously handling complex tasks, Goose streamlines the development process, increasing productivity and reducing manual effort. Developers have praised Goose for its ability to manage tasks like updating dependencies, running tests, and automating code migrations, highlighting its effectiveness in real-world applications.
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    xSkrape

    xSkrape

    CodeX Enterprises

    Ironically, because we like other ORM products (Dapper, Hibernate, Entity Framework), we saw an opportunity to improve on them. Visit the CodexMicroORM project on GitHub to understand why and how in gory detail: we cover topics such as performance, thread safety, and transparent support for user interfaces such as INotifyPropertyChanged, IDataErrorInfo, dead-simple configuration, service-oriented architecture, interoperability with any pre-existing classes, and more. CodexMicroORM (aka CEF) is free, and available under the Apache 2.0 license. Being built on a pluggable architecture, watch for paid optional extensions and tools including a pure object-oriented database, removing the need to worry about "object-relational mapping" at all - leading to the simplified design and excellent in-memory performance. We'll be presenting deep-dive details in our blog. Even if you don't plan on using CEF, we'll be covering interesting data-related topics, so sign-up to get notifications.
    Starting Price: $2.49 per month
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    GitHub Copilot CLI
    GitHub Copilot CLI brings the core capabilities of the Copilot coding assistant into your terminal, enabling you to write, debug, refactor, and understand code via natural language directly in the command line. It works locally and in sync with your GitHub workflow, granting the ability to access repositories, issues, and pull requests through conversational commands while staying authenticated with your GitHub account. The tool operates as an agent in your terminal; you can ask it to autonomously create or modify files, execute commands, implement new features, fix bugs, prototype, and adjust codebases based on your specifications. Deep GitHub integration ensures context awareness (e.g., code history, branches, project layout), and the CLI experience is optimized to reduce context switching between your editor and terminal. The system supports iterative collaboration, allowing you to fine-tune or reissue commands as the project evolves.
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    Augment Code

    Augment Code

    Augment Code

    Augment Code is an AI-powered coding agent designed specifically for professional software engineers working with large codebases. It integrates seamlessly with popular IDEs like Visual Studio Code, IntelliJ IDEA, and Vim, offering tools for SDK migration, code refactoring, and documentation. Augment Code enhances developers’ productivity by understanding their unique code style and context, providing personalized recommendations and explanations. The platform supports over 100 native and MCP tools, allowing engineers to debug and code more efficiently without switching between different applications.
    Starting Price: $50 per developer per month
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    CodexBanana

    CodexBanana

    Pompiliu Rotaru

    CodexBanana is a notes taking app (code snippets manager, text snippets utility, cheat sheets organizer, professional text template solution) that is simple to use. The design is focused on usability rather than looking cool. The software is free to use. It is available for Windows as a stand-alone applications, which can also connect to internet to access shared articles.
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    Claude Opus 4.1
    Claude Opus 4.1 is an incremental upgrade to Claude Opus 4 that boosts coding, agentic reasoning, and data-analysis performance without changing deployment complexity. It raises coding accuracy to 74.5 percent on SWE-bench Verified and sharpens in-depth research and detailed tracking for agentic search tasks. GitHub reports notable gains in multi-file code refactoring, while Rakuten Group highlights its precision in pinpointing exact corrections within large codebases without introducing bugs. Independent benchmarks show about a one-standard-deviation improvement on junior developer tests compared to Opus 4, mirroring major leaps seen in prior Claude releases. Opus 4.1 is available now to paid Claude users, in Claude Code, and via the Anthropic API (model ID claude-opus-4-1-20250805), as well as through Amazon Bedrock and Google Cloud Vertex AI, and integrates seamlessly into existing workflows with no additional setup beyond selecting the new model.
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    Journey

    Journey

    Journey

    Journey is a registry platform designed for discovering, installing, and sharing reusable AI agent workflow kits that give agents new capabilities instantly. It allows users to browse a library of pre-built workflows, known as “kits,” which can be installed directly into AI agents through a simple command or prompt, eliminating the need for manual setup or complex configuration. Each kit represents a complete, portable workflow that bundles together system prompts, behavioral instructions, tool integrations, model preferences, and structured task sequences, enabling agents to execute consistent, repeatable processes across different environments. It supports integration with multiple agent systems such as Claude, Cursor, Codex, and other compatible tools, making it flexible and adaptable for various development setups. Journey also provides tools for teams to manage workflows collaboratively, including version control, permission management, and centralized coordination.
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    Factory

    Factory

    Factory AI

    Factory.ai is an agent-native software development platform designed to automate and accelerate engineering workflows. It enables developers to delegate complex tasks like refactoring, migrations, and incident response to AI-powered agents called Droids. The platform integrates seamlessly into existing tools such as IDEs, terminals, and collaboration apps. Developers can continue using their preferred environments like VS Code, JetBrains, or command line interfaces. Factory.ai works across the entire development lifecycle, from coding to CI/CD pipelines. It is built with enterprise-grade security to protect data and intellectual property. Overall, Factory.ai enhances productivity by enabling AI agents to work alongside developers without disrupting workflows.
    Starting Price: $80 per month
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    Nimbalyst

    Nimbalyst

    Nimbalyst

    Nimbalyst is a free, local, visual workspace for building with Claude Code and Codex. Nimbalyst provides a session and task manager and visual editors for markdown, mockups, diagrams, drawings, csv, mcp, data-models, code, sessions, and tasks.  Nimbalyst enables builders (developers, product managers, designers, and others) working with agents to achieve: - Higher bandwidth: a visual workspace to collaborate with your agents on sessions, files, and tasks. - Richer context: live diffs, linked files, and integrated editors keep you and your agents on the same page - Faster workflows: your agent builds custom tools and visual interfaces for your use cases right inside the workspace where you work
    Starting Price: $0/user/month
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    Verdent

    Verdent

    Verdent

    Verdent is an AI-powered development platform designed to help developers manage large-scale complexity and deliver production-ready code with efficiency and reliability. It consists of two products, Verdent Deck, a desktop app, and Verdent for VS Code, an integrated extension. Both support running multiple AI agents in parallel, provide DiffLens to explain code diffs by highlighting what changed and why, offer GPT-5-based code review, implement Plan-first Alignment for structured execution, and include a browser tool and verifier subagent to check accuracy. Verdent Deck allows developers to run multiple tasks with oversight in isolated contexts, completing them asynchronously while providing a clear project overview and progress tracking. Verdent for VS Code operates as an AI coding agent that autonomously plans, codes, and verifies tasks within the editor, optimized for engineers who need precision, transparency, and dependable results in production-grade environments.
    Starting Price: $19 per month
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    Palmier

    Palmier

    Palmier

    Palmier lets you trigger AI agents from GitHub events to generate merge‑ready pull requests that fix bugs, write documentation, and review code without manual intervention. By connecting GitHub or Slack triggers, such as pull request opens, updates, merges, or issue labels, to prebuilt or custom agents, you can auto‑implement features, run security scans, refactor code, generate tests, and update changelogs in parallel, all within isolated sandboxes that never store your code or use it for model training. With drag‑and‑drop‑style integrations for GitHub, Slack, Supabase, Linear, Jira, Sentry, AWS, and more, Palmier delivers real‑time, ready‑to‑merge PRs with 45 percent lower review latency and unlimited parallel runs. Its MIT‑licensed agents operate in secure, ephemeral environments under your permission controls, ensuring full data privacy and compliance with your workflow.
    Starting Price: $30 per month
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    CodeNext

    CodeNext

    CodeNext

    CodeNext.ai is an AI-powered coding assistant designed specifically for Xcode developers, offering context-aware code completion and agentic chat functionalities. It supports a wide range of leading AI models, including OpenAI, Azure OpenAI, Google AI, Mistral, Anthropic, Deepseek, Ollama, and more, providing developers with the flexibility to choose and switch between models as needed. It delivers intelligent, real-time code suggestions as you type, enhancing productivity and coding efficiency. Its agentic chat feature allows developers to interact in natural language to write code, fix bugs, refactor, and perform various coding tasks within or beyond the codebase. CodeNext.ai includes custom chat plugins that enable the execution of terminal commands and shortcuts directly within the chat interface, streamlining the development workflow.
    Starting Price: $15 per month
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    Claude Opus 4

    Claude Opus 4

    Anthropic

    Claude Opus 4 represents a revolutionary leap in AI model performance, setting a new standard for coding and reasoning capabilities. As the world’s best coding model, Opus 4 excels in handling long-running, complex tasks, and agent workflows. With sustained performance that can run for hours, it outperforms all prior models—including the Sonnet series—making it ideal for demanding coding projects, research, and AI agent applications. It’s the model of choice for organizations looking to enhance their software engineering, streamline workflows, and improve productivity with remarkable precision. Now available on Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI, Opus 4 offers unparalleled support for coding, debugging, and collaborative agent tasks.
    Starting Price: $15 / 1 million tokens (input)
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    Zenflow

    Zenflow

    Zencoder

    Zenflow is an AI orchestration platform built to bring discipline and structure to AI-assisted software development by coordinating multiple AI agents in spec-driven workflows, enforcing planning, implementation, testing, and review steps so output stays aligned with defined requirements rather than ad-hoc prompting. It organizes repeatable processes that run on autopilot or with human review, with built-in automated verification and cross-agent quality gates to reduce errors and “AI slop.” Zenflow enables parallel execution of tasks in isolated environments, provides visibility into agent work via project management views, and supports pre-built workflows for features, bug fixes, and refactors that users can extend or customize. It anchors tasks to a single source of truth such as PRDs or architecture documents to prevent drift and scope creep, and coordinates agent diversity to catch blind spots across model families.
    Starting Price: $19 per user per month
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    Emergent

    Emergent

    Emergent.sh

    ​Emergent.sh is an AI-powered, agentic workspace designed to amplify creativity, remove roadblocks, and redefine software development. It offers an all-in-one platform where developers can plan, code, test, and deploy applications seamlessly. Key features include code maintenance and refactoring, such as automating library upgrades, simplifying migrations, and refactoring codebases. For application development and testing, Emergent.sh aids in resolving frontend bugs, integrating SaaS quickly, and boosting testing coverage. In data warehousing, it streamlines migrations, builds efficient ETL pipelines, and preprocesses data effortlessly. Additionally, it supports maintaining documentation, building internal tools, and automating scripting tasks. Backed by Y Combinator, Emergent.sh aims to unlock the future of software development by providing developers with a workspace that enhances productivity and innovation.