Why business dependency, not technology or scale, defines an enterprise app and its governance obligations.
A developer shares their experience switching back to Ghostty terminal app, configuring it for AI coding agents, and exploring terminal-centric workflows.
Analysis of AI-generated code quality, discussing strengths, weaknesses, and implications for software development.
Simon Willison discusses how AI coding agents change productivity metrics and the importance of conceptual integrity in software development.
A developer compares AI coding tools by having Codex with GPT-5.6 Sol Ultra build a raccoon heist game, fixing bugs and sharing results.
Explains why agent skill descriptions are critical for AI coding agents to select relevant skills, improving consistency and reducing prompt repetition.
A daily tech reading list covering AI coding agents, multi-tenancy, autonomous engineering, and AI infrastructure trends.
Explores the future of product management, predicting that AI and smaller teams will shift PM responsibilities to developers and domain experts.
Analysis of AI coding agent costs in 2026, comparing model performance, harness efficiency, and pricing between US and Chinese models.
Learn how Aspire MCP provides runtime context to AI coding agents, improving their suggestions by integrating OpenTelemetry and Aspire for better system understanding.
A developer shares personal experiences with AI coding agents, noting significant improvements in capability and efficiency, while discussing limitations and best practices.
Analysis of AI coding agent criticism, arguing that non-users' abstract critiques lack practical experience.
Guide to building a benchmarking framework for AI coding agents using Claude's Agent SDK, focusing on security tasks.
A developer's reflection on resisting AI-driven multitasking and the benefits of focusing on one task at a time for well-being and productivity.
Explores why AI coding agents don't accelerate software delivery, arguing that code generation is no longer the primary bottleneck.
Analysis of AGENTS.md files for AI coding agents, explaining why human-written files improve performance while auto-generated ones can hurt.
Introducing mcp-wire, a CLI tool that simplifies configuring MCP servers across multiple AI coding agents like Claude Code and OpenCode.
A critical analysis of why LLMs like Claude Code struggle with complex coding tasks, arguing the real issue is not intelligence but poor software engineering practices.
Kiro CLI now supports the Agent Client Protocol (ACP), enabling its AI agent to work within specialized IDEs like DataGrip for database tasks.
Introduces the Agent Client Protocol (ACP), an open standard for unifying communication between AI coding agents and code editors.
