Comie.dev
Summary
Comie.dev provides a production context for AI applications, integrating logs, databases, and error tracking.
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This post discusses the challenge of giving AI coding agents real production context, such as logs, metrics, and traces, to improve their debugging and fix suggestions, and asks the community for practical solutions.
@saameeey: https://x.com/saameeey/status/2062229308878581772
The article discusses how AI products require a new 'AI integration layer' to handle context retrieval, tool execution, model routing, and observability, and references Merge.dev's infrastructure for this purpose.
My Homelab AI Dev Platform
The author describes setting up an AI dev platform in his homelab using OpenCode Web UI with Git access, enabling AI-assisted maintenance of Docker services via PR review and GitOps deployment.
I open-sourced "AWS for AI." One docker compose for governed, compliant, auditable AI for your whole org. Gateway, guardrails, policies, observability, audit, etc - all wired together, built on open source.
An open-source Docker Compose setup integrating multiple open-source tools (LiteLLM, LLM Guard, OpenBao, Langfuse, etc.) to provide a governed, compliant, and auditable AI platform for organizations, with a user-friendly interface for building governed workflows.
Context.dev
Context.dev provides a single API for scraping, enriching, and extracting data from the internet.