Chalapathi Rao Komirisetti·5h agoDatabricks Unity Gateway: Who Called Your AI and Who Pays?A practical guide to model access, MCP permissions, policy failures, and cost attribution with a rollout checklist for platform teams.
Julio Pessan·7h agoThe Smallest Sufficient Multi-Agent System: Ownership Contracts Before You Add Another AgentAn architect’s working method for multi-agent designs on Microsoft Foundry — start simple, name owners, and earn every handoff.
Dawnena Key·Oct 25From Vibe Coding to Doomcoding: Who Cleans Up When the Code Doesn’t Work?AI has made writing software easier than ever. Unfortunately, someone still has to figure out whether all that code actually works…
Vikash Shakya (VARTETA)·Oct 25Basics : Federated vs.As artificial intelligence moves from basic chatbots to autonomous AI agents capable of calling APIs, querying databases, and executing…
Vikash Shakya (VARTETA)·Oct 21Judge Calibration: Who Judges the Judge?If you evaluate your AI agent with an LLM-as-judge, your eval numbers are only as trustworthy as that judge. Models get upgraded, prompts…
InGoogle Cloud - CommunitybyPaulius Danėnas·Oct 20An AI engineer’s view of the agents-cli tool: does it really simplify things?A thorough look at the main tool for developing agents in the GCP environment
써밋츠 AX팀·Oct 20사람은 Slack을 떠나지 않았습니다 — 에이전트와 일하는 공간 ‘세션’을 만들고 만난 문제들AgentOps 구축기 ②: 사람용 메신저에서 에이전트와 일하는 공간으로
Dawnena Key·Oct 17I Read a 3-Month Roadmap to Become an AI Engineer. Then I Realized I Was Already Doing It.Sometimes the career transition you’re planning has already happened. You just haven’t stopped long enough to recognize it.
Mehmet Özgen ÖZDOĞAN·Oct 17AgentOps for Local AI: Making Your Agents Observable, Traceable, and DebuggableThe first time one of my multi-agent runs went wrong, I had nothing to look at. The pipeline had taken forty minutes, the final report was…
