Code quality
Readability, duplication, complexity and consistency reviewed, with concrete examples rather than vague scores.
Quality & Support
Code Review & Refactoring
Independent code audits and careful, test-backed refactoring. We find the risks in your codebase, explain them plainly and improve the code without breaking what already works.
- orders = Order.objects.all()
- return [o.customer.name for o in orders]
+ orders = (
+ Order.objects
+ .select_related("customer")
+ .filter(account=request.user.account)
+ )
+ return [o.customer.name for o in orders]
queries: 201 -> 1 tests: 48 passed01 · Overview
From working code to code you can keep working on
Technical debt rarely announces itself. It shows up as features that take longer each sprint, bugs that return after being fixed and parts of the code nobody wants to touch. A structured review makes that debt visible and gives you a prioritised plan for dealing with it.
Our reviews combine automated analysis with senior engineers reading the code: architecture, data access, security, test coverage and documentation. When we refactor, we add tests first, change code in small reviewed steps and release through your existing pipeline.
Focus areas
- In-depth code audits
- Performance optimisation
- Security hardening
- Architecture refactoring
Technologies
- Python
- Django and FastAPI
- JavaScript and TypeScript
- Node.js and React
- PHP and Laravel
- Static analysis tools
02 · Capabilities
What we deliver
A clear picture of your codebase, followed by improvements you can measure.
Architecture
Layering, dependencies and module boundaries assessed against how the product needs to evolve.
Maintainability and technical debt
Debt identified, sized and prioritised by risk and cost, with a practical plan to reduce it.
Performance
Profiling-led fixes for slow endpoints, N+1 queries, missing caching and oversized frontend bundles.
Security
Authentication, authorisation, input handling, secrets and dependencies reviewed against common vulnerabilities.
Testing and documentation
Missing tests added where risk is highest, and documentation brought up to date for the next engineer.
03 · Approach
Safe, incremental improvement
A test-driven approach that improves your codebase step by step without putting production at risk.
-
01
Discovery and audit
We read the code, run analysis tools and talk to the people who work with it.
- Repository access
- Static analysis
- Security scan
- Pain point mapping
-
02
Test safety net
Tests are added around the areas we will change, before we change them.
- Coverage assessment
- Characterisation tests
- Integration suite
- CI pipeline
-
03
Refactor and optimise
Small, reviewed pull requests that simplify code and fix performance issues.
- Extract and simplify
- Clear patterns
- Performance fixes
- Reviewed pull requests
-
04
Validate and hand over
Changes proven in staging and explained to your team.
- Staging deployment
- Regression testing
- Documentation update
- Knowledge transfer session
04 · Technical considerations
The details that decide success
Refactoring is valuable only if it is safe. These rules keep it that way.
- Tests before changes
- Characterisation tests capture current behaviour first, so any unintended change is caught immediately.
- Small, reversible steps
- Each change is small enough to review properly and simple to revert if something unexpected happens.
- Prioritise by risk and cost
- We focus on the code that changes most often or fails most expensively, not on cosmetic tidying.
- Refactor or rewrite
- Rewrites are rarely the cheapest option. We recommend one only when evidence shows incremental change cannot get you there.
- Measure performance claims
- Every optimisation is profiled before and after, so improvements are demonstrated rather than assumed.
- Share the knowledge
- Findings are walked through with your team, and style guides and review templates are updated to keep the gains.
05 · Outcomes
What you can expect
- A clear, prioritised view of technical debt
- Fewer regressions and faster delivery
- Security and performance risks addressed
- A codebase new engineers can understand
What does a code audit include?
A review of code quality, architecture, security, performance, test coverage and documentation, combining automated tools with manual reading by senior engineers. You receive a written report with findings ranked by risk and a recommended action plan.
How long does a review or refactoring take?
An audit typically takes from a few days to two weeks depending on the size of the codebase. Focused refactoring takes one to two weeks, and larger architectural changes run over several weeks in small increments.
Will refactoring break our application?
We manage that risk carefully. We add tests before changing critical code, make small reviewed changes, validate in staging and release through your pipeline with a rollback path.
Can you make our application faster?
Usually, yes. We profile to find the real bottlenecks, then fix causes such as N+1 queries, missing caching, inefficient algorithms and oversized frontend bundles, and confirm results with measurements.
Do you help our team keep the improvements?
Yes. We walk your team through the findings and changes, update style guides and pull request templates, and can continue reviewing pull requests alongside your developers.
Related services
Often paired with
Technical Consulting & Support
Architecture advice, troubleshooting and engineering guidance when you need a second opinion.
Backend Development
Application architecture, business logic, background jobs and integrations that hold up under load.
RESTful API Development
Well-designed, documented and versioned REST APIs for web, mobile and partner integrations.
Turn technical debt into momentum
Give us access to a repository and a list of what hurts. We will tell you what we find, plainly and with priorities.