Built a saas app with Sourcegraph Cody?
We'll make it production-ready.
SaaS apps have the highest stakes for code quality — your users trust you with their data, they pay you monthly, and downtime costs you revenue. AI tools can build a SaaS prototype in hours, but the gap between prototype and production-grade SaaS is significant: subscription billing, multi-tenancy, data security, and reliability all need to be rock-solid.
SaaS App challenges in Sourcegraph Cody apps
Building a saas app with Sourcegraph Cody is a great start — but these challenges need attention before launch.
Subscription billing complexity
AI tools generate basic Stripe checkout but miss webhook handling, failed payment recovery, plan upgrades/downgrades, proration, and subscription lifecycle management. Your billing needs to be bulletproof — incorrect charges destroy trust instantly.
Multi-tenant data isolation
Every user's data must be completely isolated. AI-generated code often stores data without proper user scoping, meaning one customer could potentially see another's data. This is a deal-breaker for any business customer.
Authentication and authorization
SaaS needs more than login/signup. You need team management, role-based access control, API key management, SSO for enterprise customers, and secure session handling. AI tools handle basic auth but rarely implement authorization properly.
Uptime and reliability
Paying customers expect your app to work. You need error tracking, monitoring, graceful degradation, database backups, and an incident response plan. AI-generated apps crash ungracefully and have no observability.
Onboarding and retention
The signup-to-value flow must be smooth. AI tools build the feature but not the experience — missing loading states, unclear error messages, and broken edge cases in onboarding flows cause immediate churn.
Scalability
Your app works with 10 users but will it work with 10,000? Database queries without pagination or indexes, in-memory data processing, and missing caching all cause performance degradation as you grow.
What we check in your Sourcegraph Cody saas app
Common Sourcegraph Cody issues we fix
Beyond saas app-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Cody's suggestions are grounded in your actual codebase, which means if the codebase contains outdated patterns, deprecated library usage, or known-bad code, Cody will suggest those same patterns in new code — amplifying technical debt.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 saas app 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 saas app with Sourcegraph Cody?
Sourcegraph Cody is a great starting point for a saas app. It handles the initial scaffolding well, but saas apps have specific requirements — subscription billing complexity and multi-tenant data isolation — that need professional attention before launch.
What issues does Sourcegraph Cody leave in saas apps?
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 saas app specifically, these issues are compounded by the need for subscription billing complexity.
How do I make my Sourcegraph Cody saas app production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Sourcegraph Cody-built saas apps, 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 saas app?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger saas app projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Sourcegraph Cody saas app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.