Built with Sourcegraph Cody? Deploy it to Heroku.
Step-by-step deployment help for Sourcegraph Cody-built apps on Heroku. We fix deployment issues, configure Heroku correctly, and get your app live in production. From $19.
Sourcegraph Cody issues we fix before deploying
Problems specific to Sourcegraph Cody's code generation that affect Heroku deployments.
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Cody's suggestions are grounded in your actual codebase, which means if the codebase contains outdated patterns, deprecated library usage, or known-bad code, Cody will suggest those same patterns in new code — amplifying technical debt.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.
Heroku deployment issues we check for
Common Heroku problems that break AI-generated apps in production.
Free dyno sleeping causes cold starts
Eco and Basic dynos sleep after 30 minutes of inactivity. AI-generated apps with webhook receivers or background jobs break when the dyno is asleep.
Ephemeral filesystem loses uploaded files
AI tools save user uploads and generated files to the local filesystem, but Heroku's ephemeral FS wipes all changes on every dyno restart or deploy.
Database connection pool exhaustion
Heroku Postgres plans have strict connection limits (20 on Hobby). AI-generated apps open a new connection per request, exhausting the pool under moderate traffic.
Procfile missing or incorrect
AI-generated projects lack a Procfile, causing Heroku to guess the start command. For non-standard setups, this guess is often wrong.
Start with a self-serve audit
Get a professional review of your Sourcegraph Cody project before deploying to Heroku.
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.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you deploy a Sourcegraph Cody-built app to Heroku?
Yes. We regularly deploy Sourcegraph Cody-generated projects to Heroku. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on Heroku.
What Heroku issues do Sourcegraph Cody projects typically have?
Sourcegraph Cody projects commonly have suggestions based on deprecated or low-quality code patterns found in the existing codebase and cross-repo context can leak patterns from one team's code into another team's service. When deploying to Heroku, these combine with platform-specific issues like free dyno sleeping causes cold starts and ephemeral filesystem loses uploaded files.
How do I get my Sourcegraph Cody project live on Heroku?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Sourcegraph Cody-built projects targeting Heroku, the typical path is: fix Sourcegraph Cody-specific code issues, configure Heroku settings correctly, then deploy. We provide a fixed quote after the audit.
Can you handle the full deployment of my Sourcegraph Cody app to Heroku?
Yes. We handle end-to-end deployment: auditing your Sourcegraph Cody codebase, fixing deployment blockers, configuring Heroku correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).
Related resources
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