Why Agentic AI Needs Boundaries Before Freedom - unu.edu
Why Agentic AI Needs Boundaries Before Freedom unu.edu
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Best model for 4090 as AI Coding Agent
Good day. I am looking for best local model for coding agent. I might've missed something or some model which is not that widely used so I cam here for the help. Currently I have following models I found useful in agentic coding via Google's turbo quant applied on llama.cpp: GLM 4.7 Flash Q4_K_M -> 30B 30B Nemotron 3 Q4_K_M -> 30B Qwen3 Coder Next Q4_K_M -> 80B I really was trying to get Qwen3 Coder Next to get a decent t/s for input and output as I thought it would be a killer but to my surprise...it sometimes makes so silly mistakes that I have to do lots of babysitting for agentic flow. GLM 4.7 and Nemotron are the ones I really can't decide between, both have decent t/s for agentic coding and I use both to maxed context window. The thing is that I feel there might be some model that ju
How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines
AI coding assistants are powerful but only as good as their understanding of your codebase. When we pointed AI agents at one of Meta s large-scale data processing pipelines – spanning four repositories, three languages, and over 4,100 files – we quickly found that they weren t making useful edits quickly enough. We fixed this by building [...] Read More... The post How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines appeared first on Engineering at Meta .
![[P] Easily provide Wandb logs as context to agents for analysis and planning.](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-graph-nodes-a2pnJLpyKmDnxKWLd5BEAb.webp)
[P] Easily provide Wandb logs as context to agents for analysis and planning.
It is frustrating to use the Wandb CLI and MCP tools with my agents. For one, the MCP tool basically floods the context window and frequently errors out :/ So I built a cli tool that: imports my wandb projects; uses algorithms from AlphaEvolve to index and structure my runs; is easy to use for agents; provides greater context of past experiments; does not flood the context window; and easily tune exploration-exploitation while planning Would love any feedback and critique from the community :) Repo: https://github.com/mylucaai/cadenza Along with the cli tool, the repo also contains a python SDK which allows integrating this into other custom agents. submitted by /u/hgarud [link] [comments]
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