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Alternatives

Products that do what Keelen does

An autonomous coding loop that ships tested pull requests

  1. 1
    Replicas239

    Run Claude Code and Codex in the cloud

    Jun 2026

  2. 2

    Autonomous API testing platform for SQL server and Postgres

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  3. 3
    Anvil175

    Run a fleet of parallel Claude Codes

    Mar 2026

  4. 4
    Radiq87

    Product intelligence for the autonomous coding era

    May 2026

  5. 5

    Ship AI Code with confidence and speed

    2024

  6. 6

    Never ship broken AI code again

    Sep 2025

  7. 7
    X Island109

    Dynamic Island for AI Coding Agents

    Apr 2026

  8. 8
    Merge115

    AI-native code review assessments

    30d ago · mergeoa.com

  9. 9

    AI-first code reviews, issue analysis and real-time chat

    2024

  10. 10

    Your AI agents team, terminals, notes: one infinite canvas

    Jul 2026

  11. 11
    DexCode94

    Your AI Agent builds the Deck & you never leave the terminal

    Mar 2026

  12. 12

    Validate agent-generated code before it ever reaches CI

    May 2026

  13. 13

    Control AI coding agents with limits, proof, + run receipts

    Jun 2026

  14. 14SH

    We built Verity.md for the new era of loop engineering where traditional code review simply doesn't fit and is a major bottleneck. This is what we think the future of code review looks like: - An adversarial review layer, which is part SAST scanning for quality and security issues deterministically, and part AI (a different one) checking for intent gaps. - Built-in gates that tells the coding agent how to fix itself when it finds an issue (this is the self-healing part). - Compounding knowledge base where every decision is saved, so the next time the coding agent run it starts smarter -…

    Jul 2026 · verity.md

  15. 15SR

    Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…

    Jul 2026 · shikigami.dev

  16. 16

    Make AI-built code reviewable before it ships

    19d ago · gitghost.ai

  17. 17MA

    This weekend I built a multi-agent coding system which, quite unexpectedly, beat Claude Code on Stanford's Terminal Bench! The architecture is straightforward, consisting of an orchestrator agent that deploys explorer & coder subagents to complete complex terminal based tasks, utilising an intelligent context sharing mechanism along the way which makes it all work. The repo has a lot of technical details, and all the code and prompts for you to play around with if you'd like! I had a lot of fun making this, I hope you have fun reading the README, using it yourself, or even extending it! As…

    2025 · github.com

  18. 18NT

    I built a CLI tool that turns codebases and PRs into diagrams so you can quickly understand how things fit together. Originally made it because I couldn't follow my own AI-generated repos. Just shipped a big update: - Switched from D2 to Mermaid for rendering - Tree-sitter AST parsing + agentic flow instead of raw LLM calls. ~50x faster. - Works on any GitHub repo or PR, not just local - Dropped the web frontend, it's just a CLI now - Published as a pip package Still a ton to improve and I'm building fast. Feedback, issues, PRs all welcome.

    Feb 2026 · github.com

  19. 19AT

    Hi Hacker News! We're launching Zalor, an agent testing platform. Agents often break when you tweak system prompts, swap models, or add tools. Zalor automatically generates test scenarios and evaluates your agent so you know it's reliable before deploying to production. We currently support the OpenAI Agents SDK and are onboarding other frameworks. A GitHub integration is coming so you can get feedback on every update. Looking forward to hearing feedback from people building agents.

    Mar 2026 · agents.zalor.ai

  20. 20LI
  21. 21

    Production-tested Agent Skills for Claude Code & Codex

    26d ago · github.com

  22. 22CS

    In the following case study, the AI coding agent rebuilds a core system invariant in just three days, with minimal human input, running 31 verification passes and correcting 201 errors, before shipping code with zero bugs, zero regressions, and zero technical debt. https://aisovereignlabs.ai/docs/case-study/liveSession/case-... Disclaimers: This case study is NOT: - a project written from scratch - yet another Rust transpilation - a clone of an open-source project found in the LLM's training data - a Super Mario clone in HTML It IS: - a complex application…

    Jul 2026

  23. 23BA

    I built CodeLens.AI - a tool that compares how 6 top LLMs (GPT-5, Claude Opus 4.1, Claude Sonnet 4.5, Grok 4, Gemini 2.5 Pro, o3) handle your actual code tasks. How it works: - Upload code + describe task (refactoring, security review, architecture, etc.) - All 6 models run in parallel (~2-5 min) - See side-by-side comparison with AI judge scores - Community votes on winners (blind voting) - Each evaluation gets reflected in the overall AI model leaderboard, showing us best ones Why I built this: Existing benchmarks (HumanEval, SWE-Bench) don't reflect real-world developer tasks. I wanted to…

    Oct 2025 · codelens.ai

  24. 24CA

    I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!

    Sep 2025 · infrastructureas.ai

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