BREAKING
06:16 UTC
OpenAI Codex arrives in ChatGPT plans with IDE support and GitHub auto-reviews
new feature deep dive
medium
Codex now rides along with ChatGPT, bringing IDE pairing and GitHub auto-reviews—easy to pilot, but lock down scopes and measure value before scaling.
openai-codex
06:17 UTC
Codex grows up: plugins and GitHub triggers give it real tool access
new feature deep dive
medium
Codex can finally touch your tooling, so start small in staging and harden safety rails before letting it act in prod.
anthropic
06:18 UTC
Claude Code 2.1.86–2.1.87 ships a session header for proxies and key stability fixes; community skills add SaaS multi‑tenancy
new feature deep dive
medium
Treat 2.1.86–2.1.87 as a stability and observability upgrade and wire the new session header into your gateways now.
github
06:19 UTC
Copilot CLI 1.0.13 pre-release: faster start, safer grep, and tighter MCP/BYOM behavior
new feature deep dive
medium
Copilot CLI 1.0.13 tightens agent workflows and boosts day-to-day usability with real reliability and performance wins.
google
06:21 UTC
Google’s agentic dev stack: Gemini 3.1 long-context and ADK 2.0 deterministic graphs move from hype to practice
trend pattern
medium
Treat Gemini-era agent graphs as real production tooling—use them, but fence them with evals, guardrails, and human control.
xai
06:22 UTC
Signal check: Grok 5 rumors and coding‑LLM noise—optimize your evals, not your hype
trend pattern
medium
Treat the Grok 5 buzz as a heads‑up, not a roadmap—ship better evals now so you can move fast when facts arrive.
openai
06:24 UTC
Ship LLMs you can trust: add observability, stop prompt leaks, and harden content paths
workflow use case
high
Stop flying blind: log and evaluate every prompt, block PII at the edge, and add layered content checks before scale.
nvidia
06:25 UTC
Agentic coding is going operational: evals, guardrails, and runbooks
trend pattern
medium
Agentic coding is ready for production only if you ship it with evals, least-privilege tools, and real runbooks.
vllm
06:27 UTC
LLMOps Part 14: Practical LLM Serving and vLLM in Production
workflow use case
medium
Optimizing tokens is only half the job; reliable serving and scaling decide the user experience and cost.