01
Sprints spent on fixes
Engineers spending more time on regressions than on new features.
Slow feature delivery, fragile deployments and an aging codebase
Technical debt remediation and codebase modernization
Find the parts of the codebase that slow delivery most, put tests around them, and refactor them while feature work continues.
Symptoms
Signs your platform has this problem
If several of these sound familiar, the plan below is where we would start.
02
Fear of touching core code
No automated tests around critical paths, so every change feels risky.
03
Frequent regressions
Small pull requests breaking unrelated screens.
Remediation plan
How we fix it, step by step
Each phase ends with a measurement, so you can see what changed before the next one starts.
01
Churn and defect heatmap
Analyzing git history and bug density to find the highest-risk modules.
02
Test safety net
Writing Playwright end-to-end tests around critical flows before refactoring them.
03
Modular decomposition and strict types
Refactoring tightly coupled modules behind clear interfaces with strict TypeScript types.
04
CI quality gates
Adding linting, type checks and coverage gates that block risky pull requests.
Technical checklist
Remediation checklist
What we check before a change goes to production:
- Rank files by churn and defect history to find the highest-risk modules
- Cover revenue-critical flows with end-to-end tests before refactoring them
- Remove untyped 'any' and enable strict TypeScript compilation
- Record key architecture decisions in Architecture Decision Records (ADRs)
What we measure
We take a baseline first and report the same measurements after each change, from your own monitoring — evidence, not promised results.
- Lead time
- Commit to production, from your repository and CI (DORA)
- Change failure
- Share of deploys that cause an incident or rollback
- Defect rate
- Production bugs per month in the refactored areas
Related service
IT consulting
Senior counsel for decisions too expensive to get wrong — architecture reviews, technical due diligence, and delivery audits in writing, within weeks.
Explore IT consultingQuestions
Questions about this remediation
We work alongside your roadmap, refactoring high-churn modules incrementally next to active sprint tickets.
We track the DORA metrics — deployment frequency, lead time for changes, change failure rate and time to restore service — plus defect counts in the areas we refactor.
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Want an engineer to look at this with you?
Send us the symptoms and any metrics you have. We'll reply within one business day, set up a call and agree what to measure before anything changes.