nowfound

Alternatives

Products that do what PiMax does

AI agent failure diagnosis and simulation engine

  1. 1

    Self-evolving AI model powering autonomous agents

    Mar 2026 · agent.minimax.io

  2. 2

    First AI agent automating entire software testing process

    2025 · testsprite.com

  3. 3

    Deep Work AI Agents - powered by Agent MAX

    Dec 2025 · incredible.one

  4. 4
    TestAI407

    1,000+ automated tests for AI agents in one click

    2025

  5. 5
    Janus268

    Simulation testing for AI agents

    2025

  6. 6

    Cursor for testers. AI Agents for product and QA teams

    2025

  7. 7
    Fabraix196

    Find gaps in your AI agents before users do

    May 2026 · fabraix.com

  8. 8

    Stop breaking prod, build & test with a fleet of QA agents

    Oct 2025

  9. 9

    Your AI Agent's Truth Graph to diagnose symptoms

    Sep 2025

  10. 10

    Trace, evaluate, and improve AI agents in production

    Aug 2026 · telerik.com

  11. 11

    Evaluate AI workflows and reach 99% AI quality.

    Oct 2025

  12. 12

    Next-Gen AI DevOps engineer to run your engineering teams

    2025

  13. 13PT
  14. 14

    AI agent that builds skills from every task you give it

    Apr 2026 · x.com

  15. 15

    Stack Overflow for AI agents

    Mar 2026 · debugbase.io

  16. 16
    Maxim138

    Evaluate and improve your AI products, 5x faster ⚡️

    2024

  17. 17

    Desktop AI workstation with agent-driven visual canvas

    May 2026 · hub.minimax.io

  18. 18

    See what breaks your AI agent and fix it automatically

    Jan 2026 · docs.futureagi.com

  19. 19AA

    Hi I am Aditi and I co-founded Potpie AI with my college mate Dhiren. We are building an open-source infrastructure to create custom agents for engineering use-cases like debugging, system design, integration testing, PR review etc. The agents are powered by a knowledge graph built on your code base to provide better context and memory, leading to better planning and execution. Currently we offer 6 ready-to-use agents but you can also build your custom agents. You can tune agent parameters like purpose, goals, background etc. and they are also empowered by pre-built tooling like code…

    2024 · github.com

  20. 20

    Break, test, and secure AI agents before production

    Jun 2026 · github.com

  21. 21
    Spec2734

    Spec-driven testing for AI agents and AI apps

    Apr 2026 · spec27.ai

  22. 22FC

    Hi everyone, I’ve been working on an open-source tool called Flakestorm to test the reliability of AI agents before they hit production. Most agent testing today focuses on eval scores or happy-path prompts. In practice, agents tend to fail in more mundane ways: typos, tone shifts, long context, malformed input, or simple prompt injections — especially when running on smaller or local models. Flakestorm applies chaos-engineering ideas to agents. Instead of testing one prompt, it takes a “golden prompt”, generates adversarial mutations (semantic variations, noise, injections, encoding edge…

    Jan 2026

  23. 23AO

    I have spent a long time working in an XP/TDD style, so when AI coding tools became useful enough for real work, I adopted them quickly. The first bottleneck I hit was not code generation, it was verification: AI could write code and tests quickly, but I was still the person reviewing implementations, clicking through flows, checking logs, inspecting database state, and deciding whether the result was actually correct. That pushed me to move validation further left. Before implementation, AI had to produce test plans. After implementation, it had to execute those plans too: drive the…

    Mar 2026

  24. 24

    Seven agents. Zero yes-men

    Jun 2026 · poddleme.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →