AI coding has a cheat code. It's not a tool, a model, or a better prompt template. It's a shift in how you structure the work. Most developers write one big prompt, hit enter, and hope for the best. When the output isn't right, they describe the problem, the AI "fixes" it, and a new problem shows up. Three rounds later, they're further from where they started. The developers who ship fastest never ask the AI to do everything at once. They run every task through a simple loop: ๐ฃ๐น๐ฎ๐ป โ ๐๐ ๐ฒ๐ฐ๐๐๐ฒ โ ๐ฉ๐ฒ๐ฟ๐ถ๐ณ๐ It starts with the ๐ฃ๐น๐ฎ๐ป. Before the AI writes a single line of code, define the goal and constraints for just the next step. Not the whole feature, just the next piece. Even better, ask the AI to reason through the approach first. You catch bad assumptions before they become bad code. Then you ๐๐ ๐ฒ๐ฐ๐๐๐ฒ. Let the AI generate, but keep the scope tight. Not "build the entire auth system." Instead: "Add JWT verification middleware that reads from the Authorization header and returns 401 on expired tokens." Then you ๐ฉ๐ฒ๐ฟ๐ถ๐ณ๐. Review the diffs. Run the tests. Give specific, actionable feedback. "That's wrong" is a terrible prompt. "The middleware should return 401, not 403, and check the Authorization header instead of X-Token" gives the AI everything it needs to course-correct in one shot. ๐ฉ๐ฎ๐ด๐๐ฒ ๐ณ๐ฒ๐ฒ๐ฑ๐ฏ๐ฎ๐ฐ๐ธ ๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ๐ ๐น๐ผ๐ผ๐ฝ๐. ๐ฃ๐ฟ๐ฒ๐ฐ๐ถ๐๐ฒ ๐ณ๐ฒ๐ฒ๐ฑ๐ฏ๐ฎ๐ฐ๐ธ ๐ฐ๐น๐ผ๐๐ฒ๐ ๐๐ต๐ฒ๐บ. Then you go back to Plan and repeat. This works because AI is excellent at small, well-defined tasks and unreliable at large, ambiguous ones. The mental shift: you're not trying to write the perfect prompt. You're building a rhythm of small, verifiable steps that works the same way across any tool. Terminal agent, IDE copilot, browser-based builder. ๐ง๐ต๐ฒ ๐น๐ผ๐ผ๐ฝ ๐ถ๐ ๐๐ต๐ฒ ๐ฐ๐ผ๐ป๐๐๐ฎ๐ป๐. ๐ฆ๐๐ผ๐ฝ ๐๐ฟ๐ถ๐๐ถ๐ป๐ด ๐ฏ๐ถ๐ด ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐๐. ๐ฆ๐๐ฎ๐ฟ๐ ๐ฟ๐๐ป๐ป๐ถ๐ป๐ด ๐๐บ๐ฎ๐น๐น ๐น๐ผ๐ผ๐ฝ๐. The article below covers Vibe coding best practices with hands-on examples. Do check it out. Akshay ๐ (@akshay_pachaar) x.com/i/article/203930514901โฆ โ https://nitter.net/akshay_pachaar/status/2039326670797369346#m
โ View original post on X โ @akshay_pachaar, 2026-04-02 07:40 UTC
