Flip Your AI Dev Workflow: Generate the Prompt First, Then the Code (4 Phases)
Instead of telling AI to write code directly, have it translate a vague goal into an executable prompt structure first, then use that structure to drive code generation. Phase 1 Intent → Phase 2 Structuring → Phase 3 Tool-Level → Phase 4 Implementation.
Instead of asking AI to write code → ask it to generate the prompt structure first, then drive code from the structure (4 phases: intent capture → prompt structuring → tool-level prompts → implementation)
[ Log in to see the full prompt ]Sign up free to see the full prompt, copy it, save it, and join the discussion. Free content unlocks on login; Pro content is a separate subscription.
The author's testing shows that treating the prompt as an intermediate translation layer is more reliable than prompting for code directly. The full prompt system runs about 50k tokens — drop it into Claude and let it run end to end. The answer to "why do two models give wildly different results from the same prompt" is this: the model isn't dumb, the human-machine interface is fuzzy. Recommended learning for mid-to-senior AI engineers.
4 phase 完整輸出：Phase 1 簡短意圖 / Phase 2 5 段結構（subtask + constraints + success + tool-use + checkpoints）/ Phase 3 N 個 executable prompts / Phase 4 由 Phase 3 驅動的 code + human checkpoint
A description of the intended result. Check this entry's testing notes and try the prompt with your own inputs.
Suno Engineer's Mindset: 4 Steps to a Song That Doesn't Sound Like AI
A studio engineer's breakdown of Suno's fatal weaknesses (fried vocals, high-frequency artifacts), plus a 4-step DAW workflow and a Suno Studio cleanup prompt.
5 Claude Weekly Workflows That Stuck After 6 Months
Proposal generator / meeting processor / content repurposer / Friday review / shutdown reset — out of 40 I tried, only these 5 survived, each saving 30+ minutes per run.
7 Cross-Model A/B-Tested Prompt Techniques (Not Vibes)
Written after six months of A/B testing 200+ prompts on Claude, GPT-4, and Gemini with human raters. Covers persona + constraint stacking, anti-examples, role-reversal QA, cognitive scaffolds, emotional priming, uncertainty CoT, and steelman-first.
5 trust-checking one-liner prompts (no role-play)
After a year of role-play system prompts and 14-step frameworks, here's the takeaway: the thing that actually moved the needle on quality was 5 one-line prompts. No roles, no markdown, no "you are an expert."