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Apache Burr: Build reliable AI agents and applications

burr.apache.org

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Re: Apache Burr: Build reliable AI agents and applications

#93
post #82
post #79

Earlier quoted context omitted.

If you include the following: https://github.com/gitsense/chat/blob/main/base-state/analyz... In your chat with AI, include the above file and let it know what your requirements are and I can create the analyzer and include it. You can also think of my tool as data prepping tool. So if you have a clear prompt the AI can review the file during analysis and remove all unnecessary code so the extracted metadata will the…

> If a developer wanted to change X, would these keywords help them find this file? I think the best way to generate these is with a sub-agent. Tell it to try and solve a problem that involves editing this file, and see what it starts grepping for. This ties in with this idea that the tools and designs should be what comes naturally to the LLM, i.e. what it's already been trained on. And the most straightforward way…

My solution has a natural self improvement loop. Once you have finished a task, you just ask the agent "If you had more information, how would you have finished the task sooner and/or better?" This was how I came about the rust blast radius brain.

I need to modify OpenAI's Codex agent to support slash commands that can help humans better guide agents, and I needed a solution with the least impact. They don't accept contributions so I need to plan for syncing with the upstream.

Re: Apache Burr: Build reliable AI agents and applications

#100

Wow, such a un-apache-y homepage I've ever seen, vs. the canonical one: https://httpd.apache.org/ (And wow, they still keep releasing it!)

it looks like it was built using the satire vibecoding components listed here yesterday https://vorpus.github.io/performativeUI/
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