Python app built with Sourcegraph Cody? Let’s review it.
Expert code review for Python apps built with Sourcegraph Cody. We find Sourcegraph Cody-specific bugs, fix Python security issues, and optimize performance. From $19.
Sourcegraph Cody issues we find in Python projects
Problems specific to Sourcegraph Cody's code generation patterns when building Python apps.
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Cody's suggestions are grounded in your actual codebase, which means if the codebase contains outdated patterns, deprecated library usage, or known-bad code, Cody will suggest those same patterns in new code — amplifying technical debt.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.
Python issues we check for
Common Python problems that affect production readiness.
Django debug mode in production
DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.
Missing CSRF protection
CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.
Insecure deserialization
Using pickle or yaml.load with untrusted data, enabling remote code execution.
Slow database queries
ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.
Start with a self-serve audit
Get a professional review of your Sourcegraph Cody Python project 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 you review Python code generated by Sourcegraph Cody?
Yes. We regularly audit Python projects built with Sourcegraph Cody and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What Python issues does Sourcegraph Cody typically create?
Common issues in Sourcegraph Cody-generated Python code 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. Combined with Python-specific concerns like django debug mode in production and missing csrf protection.
How do I make my Sourcegraph Cody Python project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Sourcegraph Cody-built Python projects, the typical path is: fix security gaps, address Python-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review Sourcegraph Cody-generated Python code?
Our code audit starts at $19 and covers security, performance, architecture, and deployment readiness. For fixes, our Fix & Ship plan is $199. Larger projects get a custom fixed quote — no hourly billing or surprises.
Related resources
Need help with your Sourcegraph Cody Python project?
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