Built a api / backend service with Sourcegraph Cody?
We'll make it production-ready.
APIs are the backbone of modern applications — mobile apps, SPAs, integrations, and other services all depend on your API being secure, fast, and reliable. AI tools can scaffold API endpoints quickly, but production APIs need authentication, input validation, rate limiting, documentation, and monitoring that AI tools consistently skip.
API / Backend Service challenges in Sourcegraph Cody apps
Building a api / backend service with Sourcegraph Cody is a great start — but these challenges need attention before launch.
Authentication and API keys
Every endpoint needs to verify the caller's identity. AI tools create endpoints without auth, or with auth that's easy to bypass. You need token-based auth, API key management, and proper session handling.
Input validation
Every parameter, request body, and header value must be validated before use. AI-generated APIs trust client data, which leads to injection attacks, data corruption, and crashes from unexpected input.
Rate limiting and abuse prevention
Without rate limits, anyone can hammer your API — brute-forcing passwords, scraping data, or running up your infrastructure costs. Rate limiting must be per-user and per-endpoint.
Error handling and status codes
APIs should return appropriate HTTP status codes (400 for bad input, 401 for unauthorized, 404 for not found, 500 for server errors) with helpful error messages. AI tools often return 200 for everything or expose internal error details.
Documentation
APIs without documentation are unusable. Auto-generated OpenAPI/Swagger docs from your code are the minimum. AI tools rarely set up API documentation.
Versioning and backwards compatibility
Once other services depend on your API, you can't change it freely. You need a versioning strategy from the start so you can evolve the API without breaking existing clients.
What we check in your Sourcegraph Cody api / backend service
Common Sourcegraph Cody issues we fix
Beyond api / backend service-specific issues, these are Sourcegraph Cody patterns we commonly fix.
Suggestions based on deprecated or low-quality code patterns found in the existing codebase
Cody's suggestions are grounded in your actual codebase, which means if the codebase contains outdated patterns, deprecated library usage, or known-bad code, Cody will suggest those same patterns in new code — amplifying technical debt.
Cross-repo context can leak patterns from one team's code into another team's service
In large organizations where Cody indexes multiple repositories, suggestions can carry patterns from one team's codebase into another, introducing unfamiliar dependencies, different error handling conventions, or architectural approaches that do not belong in the target service.
Security vulnerabilities in existing code recommended as reference implementations
If the indexed codebase contains known security issues that have not yet been patched — unparameterized queries, missing auth checks, insecure deserialization — Cody may suggest these patterns as examples when generating similar code.
Performance anti-patterns replicated from existing high-traffic code paths
When Cody finds existing code as a reference for a new feature, it may replicate performance issues — N+1 queries, missing indexes, blocking synchronous calls — that are accepted in the existing code but will be problematic at the scale of the new feature.
Start with a self-serve audit
Get a professional review of your Sourcegraph Cody api / backend service at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
Frequently asked questions
Can I build a api / backend service with Sourcegraph Cody?
Sourcegraph Cody is a great starting point for a api / backend service. It handles the initial scaffolding well, but api / backend services have specific requirements — authentication and api keys and input validation — that need professional attention before launch.
What issues does Sourcegraph Cody leave in api / backend services?
Common issues include: suggestions based on deprecated or low-quality code patterns found in the existing codebase, cross-repo context can leak patterns from one team's code into another team's service, security vulnerabilities in existing code recommended as reference implementations. For a api / backend service specifically, these issues are compounded by the need for authentication and api keys.
How do I make my Sourcegraph Cody api / backend service production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Sourcegraph Cody-built api / backend services, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Sourcegraph Cody-built api / backend service?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger api / backend service projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Sourcegraph Cody api / backend service production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.