Vibe Check: Build Fast with AI

Be honest. Which one are you?

Developer A pastes a vague request into an AI tool, accepts whatever comes back, and ships code they could not explain in review. Developer B tried AI once, got something wrong back, called it overhyped, and is quietly falling behind people shipping twice as fast.

Both are losing for the same reason: nobody handed them a mental model or a path. Vibe Check is both.

The model fits in one sentence: AI is a brilliant intern with amnesia and infinite confidence. Your job is not typing prompts. It is being a good senior: stock the desk, slice the work, and review like you mean it.

What is inside (28 pages, dark-mode design, illustrated like the tools you use):

• Chapter 1: The intern with amnesia. Why confidence is not correctness, the three behaviors that confuse everyone in month one, and the cheapest quality upgrade in AI coding.
• Chapter 2: Context is everything. The context window as a desk, the instructions file (CLAUDE.md / .cursorrules) most developers never write, and why bad output usually means a bad desk.
• Chapter 3: The vibe coding ladder. Autocomplete vs chat vs agents, matching the rung to the blast radius, and the honest rule for when vibe coding is completely fine.
• Chapter 4: Fast, without breaking things. Spec-first prompting, the four quality gates that pay for themselves, and why the checkpointed developer finishes the week ahead every single time.
• Chapter 5: Trust, but verify. The verification ladder, the "looks right" trap, and the four security blind spots in AI code.
• Chapter 6: Three projects, three playbooks. The same method applied to a brand new build, a codebase you maintain, and a complex legacy system you barely understand. Real session transcripts for each.
• Chapter 7: Staying the senior. Keeping your skills from rotting, a team policy that fits on an index card, and the career math of the AI era.
• The Tips Pages: 24 less-known tricks of effective AI developers, like reversing the interview, parallel red-team sessions, AI-TDD inverted, and session handoff notes.
• The prompt patterns sheet: 12 weak prompts and their strong replacements, on one page.

Who this is for:

• Developers who use Copilot, Cursor, or Claude daily but feel clumsy with them
• Engineers tired of the generate-break-regenerate loop eating their afternoons
• Tech leads who need a sane AI policy their team will actually follow
• Anyone who has merged 2,000 AI-written lines and prayed

Format: PDF, 28 pages, dark-mode editorial design with original illustrations. Reads in about 35 minutes.

About the author: I am Pawan Kumar, Staff Software Engineer at Pocket FM and Google Developer Expert. I have shipped products with 1M+ downloads and maintain open source projects with 30K+ GitHub stars. This is book two in my illustrated series for working programmers; book one, Git Happens, covers Git the same way. More at pawan.app.