Clef: Open-source decision models, and new RL fine-tuning platform
Article URL: https://blog.cloudflare.com/clef-decision-models/ Comments URL: https://news.ycombinator.com/item?id=49923692 Points: 370 # Comments: 146
A compact digest of model releases, papers, agentic systems, coding automation, infra, security, and high-signal developer discourse. Feed candidates are ranked locally; the scheduled Hermes worker can add qualitative synthesis.
Article URL: https://blog.cloudflare.com/clef-decision-models/ Comments URL: https://news.ycombinator.com/item?id=49923692 Points: 370 # Comments: 146
Article URL: https://openid.net/wp-content/uploads/2025/10/Identity-Management-for-Agentic-AI.pdf Comments URL: https://news.ycombinator.com/item?id=49922736 Points: 66 # Comments: 22
On Friday I gave the closing keynote at the WeAreDevelopers World Congress North America in San Jose. I tied together the key trends from the past year into a chronological exploration of everything that happened in 2026. The video is on YouTube ; here are my annotated slides and notes to accompany the talk. And as an annotated presentation : # I'm going…
Article URL: https://stoppels.ch/goalposts/ Comments URL: https://news.ycombinator.com/item?id=49924618 Points: 44 # Comments: 54
Article URL: https://github.com/Vibra-Ingenn/Janus Comments URL: https://news.ycombinator.com/item?id=49926773 Points: 30 # Comments: 4
I found that I'm not using even 1/3 of vim/vscode features anymore. That's wht I'm building rhun - a small code editor for Linux, Windows and Apple silicon Macs. It obviously has Vim mode, a terminal, Git diffs and a panel for Claude Code or Codex sessions. The editor and pixel renderer share an x86-64 assembly core. For Apple silicon, a build-time transl…
Hi everyone, Sanjeev here- founder. My journey in AI started with wanting to break into emerging AI companies, but without deep hands-on experience, it was hard to even get noticed. I started with scope focused minor projects but then curiosity got expanded to understand what happens under the hood of LLM calls, what goes in & how reliable AI agents works…
Article URL: https://github.com/crafting-dev/express Comments URL: https://news.ycombinator.com/item?id=49927273 Points: 1 # Comments: 0
Hello HN, I'm Ajo and I built Strata. I spent 4 years at Netflix solving self service for non-technical business users. I think I cracked it with my unique approach to semantic layer design. The key challenge is balancing expressiveness with ease of use for our non technical colleagues. It just so happens that focus made it work pretty well with LLMs too.…
Article URL: https://github.com/corruchaga/D-Engine Comments URL: https://news.ycombinator.com/item?id=49925593 Points: 2 # Comments: 0
Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of more…
Article URL: https://github.com/samuelrojas-dev/agent-cost-bench Comments URL: https://news.ycombinator.com/item?id=49927585 Points: 1 # Comments: 0
Article URL: https://github.com/ucsandman/SideTap Comments URL: https://news.ycombinator.com/item?id=49912306 Points: 1 # Comments: 0
Article URL: https://aweb.ai Comments URL: https://news.ycombinator.com/item?id=49927587 Points: 5 # Comments: 0
Article URL: https://premortem.site Comments URL: https://news.ycombinator.com/item?id=49926691 Points: 5 # Comments: 4
Article URL: https://github.com/LiterateDrivenDevelopment/kcc Comments URL: https://news.ycombinator.com/item?id=49926294 Points: 4 # Comments: 1
Article URL: https://fsdatalab.github.io/blog/introducing-quail/ Comments URL: https://news.ycombinator.com/item?id=49912536 Points: 3 # Comments: 0
Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handle discovery, infrastructure as code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.