An API is a contract. Once clients start calling, every decision is expensive to change. Here is the playbook our API team follows.
Design Resources, Not Actions
REST is about modeling domain resources with consistent operations. /users/123/activate is an anti-pattern; POST /users/123/activation-requests or PATCH status is cleaner.
Version at the Boundary
URL version (/v1/) or Accept header. Do not version individual endpoints or fields. Additive changes within a version are fine; breaking changes need a new version.
Return Structured Errors
HTTP status alone is not enough. Return a consistent envelope with stable error code, human message, docs pointer, and correlation ID.
Document With Examples
OpenAPI schemas are necessary but not sufficient. Every endpoint needs full request/response examples. Developers copy-paste; remove that friction.
Who This Is For
- CTOs and engineering leaders scaling production systems
- Senior engineers making architecture decisions that compound
- Teams refactoring legacy code under real delivery pressure
Common Mistakes
- Optimizing for theoretical scale before measured demand
- Adding abstraction layers that pay off only in edge cases
- Rewriting instead of refactoring incrementally
Business Impact
- Lower maintenance cost across the lifetime of the system
- Faster feature velocity with fewer production regressions
- Predictable delivery that compounds into engineering trust
Frequently Asked Questions
REST, GraphQL, or gRPC?
REST for external public APIs. GraphQL for varied client data needs. gRPC for internal service-to-service with type safety.
How to handle breaking changes?
Avoid them. When unavoidable, parallel-support for 6+ months, migration tooling, clear sunset dates.
What about rate limiting?
X-RateLimit-* headers on every response. 429 with Retry-After when exceeded.
Why AIM Tech AI
- Custom-built systems, not templates or off-the-shelf wrappers
- AI + backend + cloud + infrastructure expertise in one team
- Built for production scale, not demo-day experiments
- Beverly Hills, California — serving clients worldwide
Build Systems, Not Experiments
AIM Tech AI designs and ships AI, cloud, and custom software systems for companies ready to turn technology into real business advantage.
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