Built with ZenCoder?
Let's make sure it's production-ready.
ZenCoder is an AI coding agent that integrates into developer workflows to automate code reviews, generate feature implementations, and handle refactoring tasks. It works across TypeScript, Python, Java, and Node.js projects. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in ZenCoder code
These are real problems we see in ZenCoder projects during our audits — not hypotheticals.
Automated reviews miss context-specific security requirements
ZenCoder's automated code reviews apply generic security heuristics. They can miss security risks specific to your domain — healthcare data handling, financial regulations, or multi-tenant isolation requirements.
Generated implementations follow generic patterns, not project conventions
ZenCoder implements features using widely-used patterns from its training rather than the specific conventions, abstractions, and service layers established in your codebase.
Refactored code may break runtime behavior
Automated refactoring changes function signatures, variable names, and module boundaries. Without comprehensive test coverage, these changes can introduce regressions that aren't caught until production.
Review feedback applied without full context
When ZenCoder applies code review suggestions autonomously, it can address the feedback literally without considering the broader implications of the change on related modules.
Generated implementations not optimized for your data scale
ZenCoder generates working implementations but doesn't know your production data volumes, query patterns, or traffic characteristics needed to make performance-conscious design decisions.
CI/CD integration not included in generated features
ZenCoder generates application code but not the deployment configuration, environment variable documentation, or infrastructure changes needed to deploy new features safely.
Generated tests focus on implementation, not behavior contracts
Tests generated alongside ZenCoder implementations verify that the code runs rather than that it meets the feature's behavioral requirements and handles edge cases correctly.
Inconsistent error handling with existing codebase patterns
ZenCoder introduces its own error handling style — exception types, logging patterns, and retry logic — that may differ from your established conventions.
How we can help with your ZenCoder project
From security reviews to deployment, we cover everything you need to go from prototype to production.
Security Review
Deep security analysis and hardening
Fix Bugs
Resolve issues and unexpected behavior
Deploy & Ship
Get your ZenCoder app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your ZenCoder app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your ZenCoder backend
Start with a self-serve audit
Get a professional review of your ZenCoder project at a fixed price. Results reviewed by experienced engineers.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern 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.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Are ZenCoder automated code reviews a substitute for human review?
No. ZenCoder reviews catch common issues effectively but miss domain-specific requirements, architectural fit, and context that human reviewers bring. Use ZenCoder reviews as a first pass, not a final gate.
Can SpringCode review code that ZenCoder generated?
Yes. We specifically look for the gaps ZenCoder leaves — context-specific security requirements, convention mismatches, and behavioral test coverage gaps.
How do I ensure ZenCoder follows my project's conventions?
Provide ZenCoder with detailed context documents and examples from your codebase. We can also help you write the documentation that guides ZenCoder toward your team's patterns.
Is ZenCoder's refactoring safe to run on production code?
Only with comprehensive test coverage in place. We recommend running ZenCoder refactors on well-tested modules first, then reviewing every change before merging.
What does SpringCode add on top of ZenCoder?
Human judgment on domain-specific security, architectural fit, and behavioral correctness. ZenCoder automates well — we validate that what it automated is actually right for your specific context.
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Get your ZenCoder app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.