You're staring at a blank screen, prompt the AI, and boom — perfect code spits out. But can you rewrite it from scratch? That's the creeping danger no one's talking about.
Stuck tweaking Cursor rules again? This GitHub repo's got your back with battle-tested skills. I've been around long enough to spot gold from gimmicks.
Coders swear by 2-5 AM for breakthroughs. But does the data back this witching-hour magic, or is it just sleep-deprived delusion?
Pasting GitHub issues into ChatGPT? You're feeding it UI garbage, not bug gold. One dev's fix: github2md.com, a 95% token slasher that's pure workflow rocket fuel.
Everyone stops at git push. But the real Git power lies in stash, amend, and cherry-pick—tools that turn chaos into control, if you know they exist.
AI spits out code like candy. Problem? Nobody owns it anymore.
Two minutes. That's all it took Claude Code to map a tangled backend registry, spot a lurking bug, and hand me the blueprint for safe integration. Forget manual tracing; here's the real power move.
You've sunk weeks into Claude Code decisions, all trapped in JSONL hell. qrec pulls them out, locally, no cloud nonsense. But does it stick the landing?
Blank screen paralysis hits every coder. But here's the twist: a solid coding plan isn't red tape—it's the architect's sketch that keeps your project from collapsing.
Picture this: a midnight bug hunt that ends in five minutes flat, not forty. One simple framework hands your AI the full crime scene, transforming guesswork into precision strikes.
Every dev knows that nagging itch for a fresh project. Rapid prototyping scratches it without the graveyard of half-baked GitHub repos.
Tired of CLIs that ignore your project's conventions? Skills flip the script: simple Markdown files that arm AI agents with your repo's context, delivering precise, adaptive tools.