Python Bytes episode 490 covers Django performance tricks, the open source maintainer slop crisis, a local AI token tracker, and a targeted phishing breakdown.
Python Bytes episode 490 covers Django performance tricks, the open source maintainer slop crisis, a local AI token tracker, and a targeted phishing breakdown.
NodeSource shipped an open source N|Solid plugin that connects Claude Code, Codex CLI, OpenCode, Antigravity CLI, and Pi Agent to live Node.js runtime diagnostics via three MCP servers.
One developer's hands-on workflow for using Copilot CLI and Gemini CLI to vibe code Common Lisp projects, including the one failure mode that trips up every model.
Boffin (npm: boffinit) routes file-specific architectural constraints to your AI coding agent and requires verification. DuckDB case study: +17/-17 lines, 2,104 assertions passed.
Tech Reformers launched a two-day instructor-led course on spec-driven development with Kiro, AWS's agentic IDE that structures AI coding through requirements and design before any code ships.
A 30-year software veteran explains why cross-model pipelines catch more defects, with Greptile data showing Claude self-review hits 53.7% recall vs 62.0% when GPT reviews the same code.
A practical guide to wiring up an MCP client in ASP.NET Core, covering tool discovery, invocation, dependency injection, security, and deployment options.
A developer breaks down why markdown specs, skills, and TDD all fail to solve the core trust problem with coding agents, and names two tools that might actually work.
Thomas Dohmke's post-GitHub startup Entire opened an India data residency region for its Distributed Git Network, claiming 3x faster cloning than GitHub and $60M in seed funding.
A step-by-step guide to building an AI coding agent using Docker containers, Hugging Face Transformers, and automated pytest pipelines. Here is the full setup.
Codeberg's members voted 358-144 to ban vibe-coded projects and formally committed to never training AI on user data. Here's what it means for open-source hosting.
A July 2026 CACM essay argues AI coding assistants don't reduce programming difficulty, they relocate it. Here is what that means for working developers.