I'll go first: Claude Code.
Why (my POV):
- It feels like the most reliable coding partner when you use it correctly: clear task framing, tight scopes, and constraints.
- I’m treating my dev work like a product: versioned releases on Git, plus a personal learning.md for decisions + "memory context".
- I started this product as vibe coding, but now it’s turning into a production product - and Claude Code helps me keep structure while still shipping fast.
Tradeoff / reality check: Even with good hygiene, I’m seeing 50K context usage out of a 200K window just for it to scan and understand files sometimes. Worth it for speed, but the context budget is real.
My take: Claude Code wins when you don’t treat it like magic—you treat it like an engineer:
- give it a mini-PRD,
- curate context (learning.md, changelog, release notes),
- force small, testable steps.
Now your turn 👇Pick ONE tool and defend it.
If nothing comes to your mind just pick from these: what's your bottleneck - context budget, accuracy, refactors, tests, or review quality?