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Best Practices for Developing a Bet Code API

Start with the contract, not the code

By the way, you don’t write a line of JavaScript until you’ve nailed down the JSON schema. A contract‑first approach forces you to think about inputs, outputs, and versioning before the first commit hits the repo. It also gives front‑end teams a solid reference point; no guesswork, no “I thought it was optional.” This is the bedrock that stops scope creep dead in its tracks.

Secure authentication is non‑negotiable

Look: OAuth2 with JWTs is the industry standard, and for good reason. A single token can carry claims, expiration, and revocation hooks—all in a compact package that scales horizontally. Forgetting to validate the token’s audience field is a rookie mistake that can open the door to data leakage faster than you can say “privilege escalation.” Implement token introspection on every request, and keep the secret keys in a vault, not in your codebase.

Rate limiting must be baked in, not bolted on

And here is why. Without throttling, a disgruntled user can hammer your endpoint, saturate the DB, and bring the whole platform to its knees. Choose a sliding‑window algorithm, store counters in Redis, and return HTTP 429 with a Retry‑After header. That tiny piece of etiquette saves you from a cascade of timeouts and angry support tickets.

Design clear, consistent error messages

Long story short: a 400 response should contain a machine‑readable error code and a human‑readable message. Don’t sprinkle stack traces or internal IDs into the payload; those are for logs, not for clients. Use a standard like problem‑details (RFC 7807) to keep everything tidy, and make sure every error path follows the same structure. It’s a tiny discipline that pays massive dividends when debugging in production.

Documentation is a living contract

Forget static PDFs. Host an interactive Swagger UI that pulls directly from your OpenAPI definition. Every time you bump the version, the UI updates, and developers instantly see the new fields, deprecations, and examples. The bet-code.com playground demonstrates this perfectly—live, editable, and always in sync with the code.

Automated testing can’t be an afterthought

Here’s the deal: unit tests catch syntax bugs, integration tests catch contract violations, and contract tests (like Pact) catch mismatches between services. Spin up a CI pipeline that runs the full suite on every PR, and gate merges on 100% pass. If you skip one of these layers, you’re basically inviting a silent bug into production.

Performance profiling should be continuous

Short and sweet: enable APM, track latency per endpoint, and set alerts for anomalies. A 200‑ms response time is great until a new feature adds a hidden O(N²) loop that pushes it to 2 seconds. Real‑time metrics let you spot that regression before your users notice.

Security reviews are mandatory, not optional

And here’s why again: a single injection flaw can compromise the entire ecosystem. Run static analysis, fuzz your inputs, and employ a red‑team audit at least once per major release. Treat findings as bugs, not “nice‑to‑haves,” and close them before the next sprint starts.

Final actionable tip

Deploy the first endpoint tomorrow, lock the version, and monitor the logs.

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