🔥 Project of the Week: @deno_land . Did you know "deno vs node" gets 5.1M Google results? .People want to know how the creator's new runtime compares to the original!. ⚡ 4h wait time vs Node.js's 2+ days .✅ 100% review coverage.🚀 3h 21m median review

🎵 Vibe coding works when your architecture supports it. Monoliths = cognitive overload + LLM context chaos.Microservices = promptable units + clear boundaries. At PullFlow: Colima + Caddy + NATS = vibe stack without K8s nightmares. The LLM-native development era demands better.

📊 Project of the Week: Windmill. ✅ 100% review coverage (#1 ranked).🌍 67% community contributions.⚡ 1.8min wait time - ultra-fast processing.🎯 14% approval rate - high quality bar. Shows how welcoming contributions + selective standards = quality at speed. Check it out:

🔍 Project of the Week: @maplibre .⚡ 12m median merge time.⏱️ 10m average wait time.🔄 85% of reviews happen within 1 hour.🤖 82% bot-driven development.✨ 100% review coverage. These numbers show how bots and automation help open-source mapping thrive.

Code reviews should accelerate quality, not block progress. When perfectionism, scope creep, and rigid standards take over, teams struggle to ship. PullFlow helps find the sweet spot between quality and speed. #CodeReview #DevProductivity

PullFlow integrates GitHub, Slack & VS Code to solve these problems. #DevProductivity #CodeReview #ContextSwitching.

IDE-to-browser shifts tax productivity.

Review scope creep consumes entire days.

Tool-switching creates coordination overhead.

Multiple codebases force mental resets.

Unexpected review requests interrupt deep work.

5 Context switching Problems that kills code review productivity: a thread 🧵.

🧵 Project of the Week: @TensorFlow . Did you know TensorFlow runs on 97% community contributions? 🤯 Google has completely stepped back from day-to-day development, creating the most community-driven model among major tech projects. What's fascinating is how they maintain

🚀 From hackathon prototype to @devhunt_ 's Tool of the Week!. now analyzes 250+ open source projects to reveal collaboration patterns that actually matter. Key insight: Different projects have different collaboration "fingerprints"; and that's exactly.

📊 AI agents are transforming code reviews:. • 85% of teams now use AI for code reviews .• 30% use multiple agents simultaneously.• Near-universal PR description automation .• Success = strategic human-AI collaboration, not replacement. The future is co-intelligent.

One more day to vote! Thanks to everyone for their support ❤️.