How I Use AI to Ship Code

Stop trying to write clever prompts. Start engineering context.

Most people use AI the wrong way. They ask for a feature in one sentence. The AI returns code that uses the wrong libraries, breaks your naming conventions, and re-introduces old bugs. You spend your afternoon fixing the mess.

An AI without context is a junior developer who has never read your codebase. It forgets everything from yesterday. You would not hand a new hire a one-line ticket and expect perfect code. You would give them an onboarding document.

I use a project memory file in my repo. This file acts as an onboarding doc that the AI reads every time. It contains project-specific rules that an outsider would not know:

• Non-negotiables: How URLs must look and how slugs must match production. • Logic rules: Deriving values from configs instead of hardcoding numbers. • Edge cases: Specific CDN settings or file paths that prevent silent breaks.

Every mistake I make becomes a line in this file. This turns the file into a compounding asset. The quality of the AI output improves over time because I stop repeating myself.

My workflow follows these steps:

  • Bootstrap the context: Ask the AI to draft the memory file from your code, then you edit it.
  • Restate the task: Ask the AI to summarize the goal before it writes code. This catches errors early.
  • Improve the prompt: Ask the AI what is ambiguous about your request.

Use AI for these tasks:

  • Writing boilerplate and scaffolding.
  • Pattern-following refactors.
  • Explaining unfamiliar code.
  • Mechanical sweeps across a repo.
  • Writing tests and fixtures.

Avoid using AI for these tasks:

  • Making novel architecture decisions.
  • Making taste or product calls.
  • Anything where being wrong is expensive.
  • Security-critical design.
  • The final review before shipping.

The discipline is simple:

  • Scope tasks small. Do not say "build this feature." Say "perform this specific change."
  • Give context upfront.
  • Verify every output. Run the build and read the diff.
  • Review it like a junior developer's PR. Never commit code without a human reading it.
  • Feed lessons back into your context file.

The leverage is not in the prompt. The leverage is in the context you maintain.

Source: https://dev.to/faizahmedfarooqui/how-i-actually-use-ai-to-ship-code-context-engineering-over-clever-prompts-il8

Optional learning community: https://t.me/GyaanSetuAi