AI‑assisted JavaScript development for microservices thrives when you give models clear objectives, audience context, and constraints. This article packages practical prompt patterns you can reuse and adapt so results improve with every iteration. Lead with the outcome you want, define tone and format, and include short examples. Ask for two alternatives and a brief rationale.
How to use these prompts: Paste the prompt, then ask follow‑ups like “What assumptions did you make?”, “Offer stronger rewrites in different tones,” and “Highlight risks or edge cases to review.” This tight loop compounds quality quickly.
Starter Prompts
- Design a JavaScript module for
, including tests and docstrings. - Explain
to a junior dev and provide a commented JavaScript example. - Create a script to parse CSV and output JSON with schema validation.
Advanced Variations
- Refactor legacy JavaScript code for readability and complexity with before/after.
- Generate a performance profile and propose three micro‑optimizations.
- Author a README with install steps, examples, and gotchas.
Refinement & QA
- Write unit tests covering edge cases and failure modes.
- Add CI/CD notes and a minimal Dockerfile for reproducible builds.
- Produce a code review checklist and an issue template for contributors.
Frameworks & Templates
SPEC:| INPUTS: | OUTPUTS: | CONSTRAINTS: DOC:| | | TEST PLAN:| |
Examples & Inputs
- Build a JavaScript CLI that fetches an API and writes a CSV report.
- Create a JavaScript microservice that validates webhooks and logs events.
- Write JavaScript code to migrate a database column with zero downtime.
Evaluation Rubric
- Correctness and robustness under edge cases
- Readability and maintainability (naming, structure)
- Performance characteristics (complexity, memory)
- Completeness of tests and docs
Iteration Checkpoints
- Run linter/formatter and static analysis
- Benchmark critical path with sample data
- Security review for input handling
Metrics & KPIs
- Test coverage percentage
- p95 latency or runtime
- Defects found in code review
Pro tip: Save best outputs as mini‑templates labeled with audience, tone, format, and success metric. Stack them into a personal prompt system that covers ideation → drafting → editing → QA → conversion.