A GitHub-published agent skill targets a failure mode where long-running coding agents (Claude Code, Codex) stall real work servicing self-invented bookkeeping — receipts, hashes, lock files, certification markers. It instructs agents to ship the product first, then verify. Relevant to anyone running long agent pipelines where models mistake process artifacts for deliverables.
A developer shared a set of 14 Agent Skills that encode a contract-first workflow for coding agents, addressing common failures like silent API changes and competing abstractions. The skills package a loop from requirements through architecture and verification, and the author is seeking community feedback on failure cases.
A developer shared a set of 14 Agent Skills that encode a contract-first workflow for coding agents, addressing common failures like silent API changes and competing abstractions. The skills package a loop from requirements through architecture and verification, and the author is seeking community feedback on failure cases.
Keepgate is a local-first tool that enforces accountability for coding agents by maintaining task state, project rules, failure history, and evidence in the repository. It addresses the problem of agents falsely claiming completed work, helping developers and teams ensure agents actually verify their actions.
Keepgate is a local-first tool that enforces accountability for coding agents by maintaining task state, project rules, failure history, and evidence in the repository. It addresses the problem of agents falsely claiming completed work, helping developers and teams ensure agents actually verify their actions.
A developer with production experience using AI coding agents reports that the main failure mode is drift—code quality quietly degrading over weeks—rather than bad code. They share specific patterns that fixed it, including objective exit criteria per phase. The post is a community discussion of practical mitigations.
A developer with production experience using AI coding agents reports that the main failure mode is drift—code quality quietly degrading over weeks—rather than bad code. They share specific patterns that fixed it, including objective exit criteria per phase. The post is a community discussion of practical mitigations.
Kery is a platform that automatically checks pull requests, reads the diff, and posts a video comment showing the feature working. It helps developers who use AI coding agents like Claude Code and Codex catch UI/UX and functionality issues that code-level reviews miss.
Kery is a platform that automatically checks pull requests, reads the diff, and posts a video comment showing the feature working. It helps developers who use AI coding agents like Claude Code and Codex catch UI/UX and functionality issues that code-level reviews miss.
The author migrated their 9-year-old AI Weekly newsletter from a dying hosted platform (Curated) to a custom SaaS stack, using Claude Code and Codex for nearly all code. The SaaS handles newsletter publishing, subscriber management, and monetization, solving the problem of platform limitations and adding custom features.
The author migrated their 9-year-old AI Weekly newsletter from a dying hosted platform (Curated) to a custom SaaS stack, using Claude Code and Codex for nearly all code. The SaaS handles newsletter publishing, subscriber management, and monetization, solving the problem of platform limitations and adding custom features.