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AI Tools for Developers

Use AI assistants effectively for coding, debugging, and documentation without sacrificing quality.

1 min readMay 18, 2025by AfricanProgrammer Team

AI as a pair programmer

Tools like Cursor, GitHub Copilot, and ChatGPT can speed up boilerplate, tests, and docs — but you still own architecture and review.

Effective prompts

Context: Next.js 15 App Router, TypeScript, Prisma + PostgreSQL
Task: Add a GET /api/tutorials endpoint with category filter
Constraints: Use Zod validation, return { tutorials: [] }

Prompt checklist

  • State framework and versions
  • Describe expected input/output
  • Mention existing patterns in the codebase
  • Ask for tests when logic is critical

Reviewing AI-generated code

// Always verify: auth checks, SQL injection, error handling
export async function GET(request: Request) {
  const key = request.headers.get("x-admin-key");
  if (key !== process.env.ADMIN_API_KEY) {
    return Response.json({ error: "Unauthorized" }, { status: 401 });
  }
  // ...
}

When not to use AI

  • Security-sensitive auth flows (review manually)
  • Pricing/billing logic
  • Legal/compliance copy

Building habits

Use AI to explore APIs and draft docs, then refine with your team's standards — especially important when mentoring junior devs in African tech hubs.

Written by

AP

AfricanProgrammer Team

Editorial

Published May 18, 2025

Practical AI workflows curated for developers learning and working across Africa.