We read the code, map the architecture, and give you a clear answer — fix it, refactor it, or start over.
Every feature takes longer than it should. Every release feels risky. But nobody's stepped back to assess how deep the problems go.
The codebase has grown organically for years. Business logic lives in React components. State management nobody can fully trace. Simple changes take days because nobody can predict the blast radius.
Everyone agrees there's too much. Your team feels it every sprint — workarounds on top of workarounds, velocity declining quarter over quarter. But "it's bad" doesn't get budget approved. Without numbers, the debt stays invisible to leadership.
New role, new codebase, no documentation. The previous team is gone or can't explain their decisions. Before you commit to a plan, you need a factual baseline — not opinions, not assumptions. Just a clear picture of where things stand.
You're weighing whether to pour another year of dev time into the current stack or start over. Both paths are expensive. Both carry risk. And right now you're making that call on instinct, not data.
One assessment. Architecture mapped. Debt scoped. A clear recommendation with the reasoning behind it.
Teams burn sprints patching symptoms because nobody's mapped the structural problems underneath. Tangled business logic, state management that doesn't scale, modules coupled where they shouldn't be. Until the debt is scoped and documented, it stays a feeling engineering carries — not a line item leadership can act on.
We read the code. Map the architecture as it actually is. Scope the debt in developer hours. Then give you a recommendation you can act on.
Is this codebase salvageable with targeted work, or does it need a fundamentally different approach? You get one of three recommendations — fix, refactor, or rebuild — with the reasoning behind it.
What to fix first, what can wait, what isn't worth touching. Ranked by velocity impact, not aesthetics. The 20% causing 80% of the drag, identified.
Specific areas quantified in developer hours. The kind of data that turns a complaint into a budget line item and gets leadership aligned on the investment.
Technical findings translated into business impact. When you present the plan, the numbers are already there — scoped, prioritized, tied to velocity and risk.
Module boundaries, data flow, component structure, dependency graph — mapped from the code, not from memory. Your team plans from what's real, not what someone assumes.
Outdated dependencies, security exposure, fragile integration points — the problems that don't announce themselves until something breaks in production. Flagged and triaged.
Tell us the codebase situation and what you're trying to decide. We'll get back to you within 12 hours.
We map the actual architecture — not what the docs say (if docs exist), but what the code does. How components relate, where coupling hides, where complexity concentrates. This is usually where the biggest problems surface: modules that look independent but aren't, shared state nobody designed, dependencies that have grown into a web.
Patterns, complexity, testability, consistency. Where the code is clean and where it's held together by workarounds. We look at how easy it is for a new developer to understand, change, and ship safely. If onboarding takes weeks instead of days, the architecture is telling you something.
Business logic mixed into React components. Redux stores with no clear ownership. Data fetching scattered across layers. We trace how data actually moves through the app and where it gets tangled. ArthurAI's fragmented modules meant 5x effort for every cross-module feature — the data flow analysis is what surfaced why.
We scope the debt in developer hours, not adjectives. Which areas cost the most time? What would it take to fix them? The 20% of the codebase causing 80% of the problems — we tell you which 20%, and what it costs you every sprint you leave it.
Outdated packages, known CVEs, libraries that aren't tree-shaken, dependencies that should have been replaced years ago. Supply chain risk that accumulates quietly. We flag what's urgent, what's a ticking clock, and what's fine for now.
Fix, refactor, or rebuild. One of three answers, with reasoning and evidence behind each. Most rewrites fail — our recommendation accounts for that. If targeted refactoring solves it, we say so. If the architecture is fundamentally broken, we say that too.
Challenge: ArthurAI's frontend had fragmented into separate applications — each with its own codebase, its own login, and no shared architecture. Cross-module features required 5x the effort. The team knew something was structurally wrong, but couldn't agree on where the problems started or what to fix first.
Solution: We mapped the architecture, identified the coupling patterns causing the 5x penalty, and delivered the diagnosis that shaped the full restructure.
Read the full case study →
Test our OSS libraries, check our partners, talk to our clients—before you commit.
100% Next.js. Enterprise-grade. Frontend, infrastructure, architecture.
Engineers who think like owners. Proactive, accountable, quality-obsessed.
We build your capability, not your dependency.
Tell us what you're dealing with — the codebase, what's at stake, and when you need to decide. We'll get back to you within 12 hours.
