@swyx: working on a "take this vibecoded slop app and make it a production-ready, e2e tested, maintainable, parallelizable age…
Summary
A skill is being developed to transform a 'vibecoded slop app' into a production-ready, e2e tested, maintainable, parallelizable agent repository, resulting in a robust codebase after 103 commits over 16 hours.
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A developer blog post argues against the idea of shipping AI-generated code to production without reading it, emphasizing that code review serves critical purposes: diffusing responsibility, reducing bus factor, and maintaining team knowledge of the codebase.
@FakeMaidenMaker: LangChain just officially open-sourced an out-of-the-box agent harness—Deep Agent. Set it up and it can run long tasks, multi-step work, and easily replace any component without forking. GitHub 23701 stars, from LangChain official (lan…
LangChain officially open-sourced Deep Agent, an out-of-the-box agent harness that supports long tasks, multi-step workflows, pluggable components, model-agnostic, production-ready.
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A developer reflects on a messy core data structure in their app, acknowledging technical debt but accepting they will never prioritize fixing it unless it hinders AI code generation.
Angular v22
Angular v22 is released, bringing Signal Forms, Angular Aria, and Asynchronous Reactivity APIs to production-ready status, along with various stability and ergonomic improvements.
@KhuyenTran16: Make AI-generated code easier to review and maintain AI-generated code often works on the first run, but the structure …
A repository of Clean Code Skills for AI agents that enforce Robert C. Martin's principles to improve AI-generated code maintainability and reduce technical debt. It provides modular skills for Python and TypeScript to guide agents in writing cleaner, more structured code.