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A discussion seeking feedback from developers on production-level issues with AI agent frameworks like LangChain and CrewAI, and predictions for future improvements.
Kent C. Dodds suggests improvements to Cloudflare's API Tokens, proposing options to roll tokens without disruption or duplicate permissions to ease developer workflows.
Z.ai confirmed that the anonymous AI model Ox Alpha was GLM-5.3-Flash, which was stress-tested by developers to gather real-world feedback before its official release.
A tweet invites DeepSeek to share feedback on Codex, noting that Codex has been significantly used in DeepSeek's development, with approximately 20% of commits and PRs from Codex worktrees.
A developer is building 402 MCP servers for AI agents and seeks community feedback on which paid microservices would be most valuable for making agents more useful.
Andrew Ng interprets the concept of Loop Engineering, where AI autonomously completes development tasks through a cycle of writing code, testing, and fixing. He expands this to developer feedback loops and real-world feedback loops, emphasizing the critical role of humans in providing contextual information.
Andrew Ng discusses the concept of 'loop engineering' as a key approach for building AI agents to develop software iteratively, outlining three main loops: agentic coding loop, developer feedback loop, and external feedback loop.
Omid Mogasemi is hosting office hours to gather user feedback, bug reports, and feature requests for Claude Code's cloud environments across desktop, web, and mobile platforms.