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AI Agents for engineering use cases like debugging

LLD,testing etc. Context Graph for AI Native SDLC. We are building an open-source infrastructure to create custom agents for engineering use-cases like debugging, system design, integration testing, PR review etc.

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  1. Open-source implementation of Stanford's self-learning agent framework

    github.com

    🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

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  2. ML condenses billions of logs into a tiny snapshot your LLM can debug

    github.com

    Agent layer for observability

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  3. Derive

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    An open home for AI artifacts and workflows

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  4. Benchmark your eng team's AI agent maturity in 5 minutes

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    Benchmark your software engineering process and SDLC for AI-driven agent maturity. Compare against hundreds of teams and share your result.

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  5. Container Use for Agents

    github.com

    Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.

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