Identify the debt that actually slows you down, build a prioritised roadmap, and track measurable improvement, without stopping feature work.
Every team carries debt. The problem is rarely the debt itself, it's the inability to tell high-impact debt apart from harmless shortcuts.
Static analysis combined with structured interviews across engineering, QA, and product. The goal is not to catalogue debt but to correlate it with business impact.
Each debt item scored on impact and effort. Quick wins separated from strategic investments, so product and engineering agree on the plan, because it's grounded in data, not opinion.
Embedded with your teams, tackling the highest-impact items first. Two-week cycles run in parallel with feature work, measured against baseline metrics every single time.
Complexity metrics, test coverage gaps, dependency health, and architectural violations, every finding tied to a specific business risk, not just a symptom.
AuditA visual map of your codebase showing where debt concentrates, overlaid with change frequency and incident data. What demands attention, and what can safely be deferred.
HeatmapA sequenced backlog scored by impact and effort, organised into two-week execution cycles, with dependencies mapped so teams never hit unexpected blockers.
BacklogLive tracking of deployment frequency, defect escape rate, MTTR, and coverage trends. Leadership visibility into engineering health without anecdotal status updates.
DashboardA code review catches problems in a diff. Our audit maps debt across the entire codebase and correlates it with incidents, change frequency, and cost of delay, so you can prioritise investment, not just flag issues.
Yes, that's the explicit design. Remediation cycles run in parallel with feature work, typically two weeks long, and are measured against baseline metrics every cycle.
The priorities come from data, incident logs, change frequency, coverage, and business impact, combined with engineering interviews. Disagreement is surfaced early and resolved transparently, not at the point of execution.
We install a continuous-debt discipline: debt tagging in your tracker, a fixed capacity allocation per cycle, and metrics that make regressions visible at the leadership level.
Both. We embed with your teams through the Execute phase, working on the highest-impact items and leaving behind the patterns and tooling so your engineers run the rest.