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Products that do what Cheqpoint does

Stop your AI agent before it f*cks something up

  1. 1

    Turn AI-app feedback into agent-ready patch context.

    Jun 2026

  2. 2

    Your coding agent’s testing buddy

    17d ago · checksum.ai

  3. 3

    Quality control for your software factory

    Mar 2026

  4. 4

    Keep PRs, issues, CI, and docs moving with AI agents

    Jun 2026

  5. 5

    Open-source pull requests AI agent

    2023

  6. 6

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

    Jul 2026

  7. 7
    0xAudit110

    The security layer for AI agents to scan, fix verify via MCP

    Feb 2026

  8. 8

    Local semantic search for AI agents

    30d ago · tryreference.com

  9. 9
    Phinq82

    Stops AI agents before they break something

    24d ago · phinq.co

  10. 10
    Cyris98

    Turns every AI decision into audit-ready evidence

    Apr 2026

  11. 11

    Validate agent-generated code before it ever reaches CI

    May 2026

  12. 12
    Gitar103

    AI code review that fixes what it finds

    26d ago · gitar.ai

  13. 13
    Retrace101

    Debug AI agents by replaying and forking runs

    Jul 2026

  14. 14
    TAKT14

    Stop babysitting AI coding agents — reviews can't be skipped

    28d ago · nrslib.github.io

  15. 15

    Stop AI agents from doing things they shouldn't.

    28d ago · sanjaynandanj.github.io

  16. 16

    Scam-proof your AI agents

    3d ago · agentlooker.ai

  17. 17OS

    Hey HN! I'm Hussam, a Senior Algorithm Engineer at CodiumAI. We launched PR Agent a little over a year ago — it’s a free and open-source tool that helps with reviewing pull requests. The response has been great and more than 70 contributors have added to the project. Today, we're launching PR Agent as a browser extension. Key features: - AI Chat in PRs: You can ask questions about specific code changes and the context is passed to the AI model - Automated Code Reviews: The /review command does an automated review, focusing on potential bugs, security issues, and best practice violations…

    2024

  18. 18TT

    I built two CLI tools to fix friction points with Claude Code: claude-remote-approver – Sends permission prompts (Bash, Write, Edit) as push notifications to your phone via ntfy.sh. Tap Approve/Deny from anywhere. Falls back to terminal on timeout. Supports "Always Approve" for trusted tools. claude-plan-reviewer – Hooks into Claude Code's plan mode and sends plans to a rival AI (OpenAI Codex CLI or Gemini CLI) for review. Feedback gets injected back, Claude revises, repeats for N rounds. Different models catch different blind spots. Together: give Claude a task, walk away, rival AI…

    Mar 2026

  19. 19IB

    I got tired of slogging through walls of legal text whenever I had to sign something important, so I built a Chrome extension that uses AI to: - Spot red flags and suspicious clauses – It automatically highlights risk areas in real-time as you read through an online contract. - Score the contract’s safety – Based on industry-standard risk parameters, it gives you an at-a-glance score so you can see how risky the document might be. - Simplify the jargon – It generates a quick summary of the key points, saving you from reading every paragraph in detail. No more signing on hunches or bets!…

    2025 · aayen.org

  20. 20AT

    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

  21. 21

    Your agent is one document away from a breach.

    25d ago · agentinterdict.pages.dev

  22. 22

    The CI gate that says no to unapproved AI code

    18d ago · linebreakapp.com

  23. 23LC

    Prompt instructions like 'never do X' don't hold up in production. LLMs ignore them when context gets long or users push hard. Limits sits between your agent and the real world. Every action — database writes, API calls, refunds — gets intercepted and checked against your rules before it executes. Deterministically. No LLM involved in enforcement. Three modes: Conditions: hard rules on structured data Guideance: validate LLM output before it reaches the user and give the agent chance to reason and retry Guardrails: scan for PII, toxicity, prompt injection etc One line to integrate: npm…

    Feb 2026 · limits.dev

  24. 24

    Know if your AI is safe enough to ship

    10d ago · promptbrake.com

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