GLM-5.2 is free on Hugging Face Inference Providers via Zai, Together AI, Novita, Fireworks, DeepInfra for the next 6 hours. Configure it with Pi, opencode, Codex, Claude Code or any coding agent.
CODE
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Anthropic fumbled badly with Claude Code last Christmas
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Remember Christmas from 6 months ago when everyone was talking about Claude Code? Anthropic fumbled so bad it's actually crazy
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Introducing Doc-to-LoRA at DLCT by Sakana AI
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Sakana AI research scientist Rujikorn (Tan) Charakorn recently presented Doc-to-LoRA at @MLCollective’s DLCT journal club, covering hypernetworks, cost amortization, and future directions. A very lively discussion followed. Many thanks to the organizers! https://youtube.com/watch?v=jb_0XcBMJQU
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Iteratively improve your agents for production with LangSmith
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✅ Take your agent from first run to production-ready through iterative cycles of improvement.
— LangChain (@LangChain) 18 juin 2026
✅ Learn how to observe and evaluate agents with LangSmith
✅ Build reliable agents that last pic.twitter.com/pXS87Pk47xTake your agent from first run to production-ready with iterative improvement cycles. Learn to observe and evaluate agents with LangSmith. Build reliable agents that last.
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How to Make Web Agent Skills Reusable
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If you build web agents, this one is worth your time. It's on how to make agent skills reusable. (bookmark it) LLM web agents usually run as tool callers. Each turn, the model reads a fresh page and emits one low-level action, so horizons and policy-facing LLM completions both
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Princeton’s Goedel-Architect: AI generates formal theorem proving blueprints for Lean 4
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What if an AI could write its own blueprint to prove math theorems? Princeton researchers introduce Goedel-Architect, a new agentic framework for formal theorem proving in Lean 4. Instead of recursively decomposing lemmas (which can loop on dead ends), it first generates a
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V can join memory channels and run code
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V can join channels with memory of past tasks and goals, write and execute its own code, and turn conversations into completed tasks. Documented
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Any LLM can run on Codex, not just OpenAI
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WHAAAT?! TIL you can run any LLM on Codex A lot of devs (including me!) still thought Codex was completely locked into OpenAI's ecosystem. It isn’t. You can completely bypass the default models and run the exact stack you want for your workflow. Here is what the routing
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Post sharing links to Deepeval and LangChain
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Docs: https://
deepeval.com/integrations/f
rameworks/langchain#in-cicd-pytest
… GitHub Repo: https://
github.com/confident-ai/d
eepeval
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Pytest for AI Agents: Testing LangChain chains locally
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Pytest for AI Agents! (100% open-source and runs locally) Building agents with LangChain means chaining LLMs, tools, and retrieval steps together. Each component can fail differently. The output changes with every run. Traditional unit tests don't work here because there's no