You built the thing. It works. Users are using it. But somewhere in the back of your mind, you know: there are no tests. There is no CI pipeline. Error handling is a try/catch that prints to the console. And nobody has ever looked at the dependencies for known vulnerabilities.
This is not a character flaw. It is a normal consequence of building software under real constraints. You shipped because shipping mattered more than test coverage. That was the right call at the time. But now the codebase is growing, other people might contribute, and “it works on my machine” is starting to feel thin.
That is where we come in.
What a Code Health Engagement Looks Like
We take a repository and do everything a senior engineer would do if they had a week to harden it. The difference is we deliver it as a single pull request you can review and merge.
Here is what that includes:
Test suite. Not placeholder tests that assert true equals true. Real tests that exercise the actual logic in your code. We target 70% coverage or higher, focusing on the functions and modules that matter most. The test infrastructure (framework, configuration, fixtures, CI integration) is included.
CI/CD pipeline. A GitHub Actions workflow that runs linting, tests, and build verification on every push and pull request. Your main branch stays clean without manual effort.
Security audit. We scan for hardcoded secrets, check every dependency for known vulnerabilities, verify your .gitignore covers sensitive files, and add a SECURITY.md so people know how to report issues responsibly.
Error handling. We find the bare excepts, the swallowed errors, the places where a failure gives the user nothing useful. We add structured logging, specific exception types, and meaningful error messages.
Bug fixes. We read every line of your code during the review. If we find bugs, we fix them and include the fixes in the same PR.
Health report. You get a before/after score (0 to 100) covering test coverage, CI, linting, error handling, and repo hygiene. No ambiguity about where you started and where you ended up.
A Real Example
We recently reviewed a JavaScript project: an interactive simulation app with 2,500 lines of code across 9 source files. Here is what we found and what we delivered.
Before: No tests. No CI. No linting. No .gitignore. No SECURITY.md. A path traversal vulnerability in the static file server that would serve arbitrary files from the filesystem. A math function with reversed subtraction that would produce wrong results if ever called.
After: 261 tests across 7 test files. 86.5% statement coverage. ESLint configured and passing. GitHub Actions CI with lint, test, and build jobs. Path traversal fixed. Math bug fixed. SECURITY.md added. .gitignore added. Health score went from 12 to 88.
The whole thing was delivered as one pull request with five clean commits, each one reviewable and revertable independently.
Another Example
A Python Streamlit app: a job scraper that searches Dice.com and exports results to Excel. Single file, 340 lines.
Before:
No tests. No CI. No linting. A bare except: clause swallowing date parsing errors silently. No logging anywhere.
After: 37 tests covering every parsing and extraction function. Ruff configured and passing clean. pytest with full test infrastructure. Structured logging added to every error path. Bare except replaced with specific exception types. Dependency audit: zero vulnerabilities. GitHub Actions CI with lint and test jobs. Health score went from 18 to 85.
Who This Is For
Startups that shipped fast. You prioritized features over infrastructure because that was the right business decision. Now you need the infrastructure to catch up.
Solo developers. Your side project is getting stars, or users, or both. You want it to look professional and be maintainable by someone other than you.
Small teams without DevOps. Everyone on the team writes features. Nobody has time to set up testing, CI, and security scanning. Hand it to us and get it back ready to go.
Open source maintainers. You want contributors, but your repo has no tests and no CI. Contributors do not trust a repo they cannot verify. We fix that.
What It Is Not
We do not refactor your architecture. We do not rewrite your code in a different style. We do not add features, change your API, or make opinionated decisions about how your project should be structured. We harden what you built, in place, with minimal disruption.
If we find something during the review that goes beyond health (a design issue, a scalability concern, an architectural suggestion), we note it in the PR description. You decide what to do with it.
How to Start
Point us at a repository. Public or private, any major language: Python, JavaScript, TypeScript, Go, Rust. We review it, build the deliverables, and send you a pull request. You review it on your own timeline, ask questions, request changes, and merge when you are ready.
One repo, one PR, one invoice. Or set up a monthly retainer if you have multiple repos that need ongoing attention.
Get in touch and tell us about your codebase.