Fix the slow, fragile parts without freezing the product

Full rewrites almost always run late. We profile your live system, put tests around the risky code and replace the worst parts slice by slice while your team keeps shipping.

1,400ms checkout p95 · live profile
  • queries / request84
  • cache hit0%
  • cloud spend$38k/mo

WHY REWRITES FAIL

Change the engine while the plane is flying

Compare our slice-by-slice approach with a typical from-scratch rewrite.

Ships every week · business keeps running

Replace the worst parts one slice at a time while new features keep shipping

Review my codebase ↗
Week 1 to 2

Read and measure

Profile production, find the 20% of code causing 80% of the pain, put tests around it.

Week 3 to 4

Stop the bleeding

Fix the slowest queries, memory leaks and flaky deploys first so the team feels relief early.

Month 2+

Slice by slice

Extract or replace one module at a time behind a flag. Old and new run side by side until the new one is proven.

Ongoing

Leave it cleaner

Upgrades, CI speed and documentation handed back to your engineers, with no lock-in.

PICK A HOTSPOT

The four modules that usually burn the budget

Every codebase has its own geography, but the pain clusters in the same places: the endpoint everyone hits, the cron nobody owns, the report that locks tables and the search that scans everything.

The ten-day audit finds yours with production data, not opinions, and ranks them by payback.

Find my hotspots
1,400ms
symptom84 queries per request
fix3 indexed queries + edge cache
after280ms
effect−80% p95
6.2s
symptomuntested, double-charges on retry
fixidempotent queue + contract tests
after900ms
effect0 incidents since
22s
symptomfull table scans on writes DB
fixread replica + async export
after1.8s
effectwrites unaffected
950ms
symptomLIKE queries across 4 tables
fixdedicated search index, typed facets
after60ms
effect−94% p95

MEASURED DELTAS

Typical numbers after a refactor sprint

API response (p95)
1,400 ms280 ms

N+1 queries removed, missing indexes added, hot endpoints cached

CI build and deploy
14 min2.5 min

Remote cache, workspace split, parallel test runners

Automated test coverage
12%60%

Contract tests around the risky modules before touching them

Monthly cloud bill
$38k$14k

Right-sized instances, read replicas, dead jobs removed

Release frequency
Once a weekSeveral a day

Smaller PRs, feature flags, five-minute rollback

Outages and fire drills
3 a weekRare

Timeouts, circuit breakers and alerts on the real bottlenecks

Two senior engineers reviewing code and performance traces together
With your team, not in a silo We pair with your engineers so they own every change we make
Under NDA

Want a second opinion on a messy codebase?

Give us read-only repo access for ten days. You get an honest report on whether to fix, refactor or rebuild, with effort estimates.

280msCheckout p95 after sprint
2.5minCI build, was 14
$14kCloud bill, was $38k
Latency falling across refactor slices
  • DEPLOYv412 shipped4.2 min pipeline
  • QUERYcheckout p95 276ms−80%
  • CIremote cache hit 92%build 2.4 min
  • CLOUDidle nodes removed−$24k/mo
  • FLAGbilling-v2 at 100%old path retired

WHAT WE DO

Four ways we clean up a live system

01

Codebase and architecture review

A ten-day written diagnosis you can hand to your board or your team.

We read the code, the query logs, the CI pipeline and the cloud bill. You get a short, ranked list of what is slowing you down, what is risky and the order we would fix it in.

10 working daysHotspot mapSecurity checkRanked fix plan
Book a codebase review ↗
02

Performance and database repair

Slow pages, slow APIs and expensive databases brought back in line.

We profile production traffic, fix N+1 queries, add the right indexes, split read and write loads and put caching where it actually helps. Online migrations, no downtime windows.

Postgres / MySQLQuery plansRedis / edge cacheZero-downtime migrations
Speed up my app ↗
03

Incremental refactoring

Untangle a monolith or rescue a half-finished migration.

We put contract tests around the old behaviour, extract clean modules behind feature flags and retire the legacy code piece by piece while your team keeps shipping roadmap work.

Strangler-figContract testsFeature flagsModular monolith
Plan a safe refactor ↗
04

Framework upgrades and cloud cost cuts

Get off end-of-life versions and stop paying for idle servers.

React, Next.js, Node, Rails, Laravel, Django, PHP or Java upgrades done in steps, plus a clean pass on your AWS or GCP bill to cut waste without hurting reliability.

Framework upgradesDependency cleanupCloud right-sizingCI speedup
Upgrade or cut cloud cost ↗

THE METHOD ON ONE DRAWING

Strangler-fig: wrap, test, slice, retire

Strangler-fig refactoring drawing: legacy monolith on the left is wrapped by a router and contract tests, while slow modules are replaced one by one with clean services and latency drops strangler.refactor.blueprint profile · test · slice · retire LEGACY MONOLITH N+1 checkout query · 1.4 s Untested billing cron Old reports (retired) 12% coverage · 14m build CONTRACT TESTS + FLAGS SLICE 01 · CHECKOUT Indexed + cached · 190 ms SLICE 02 · BILLING Idempotent queue · tested SLICE 03 · REPORTS Read replica · async PRODUCTION P95 LATENCY & CLOUD SPEND Before: 1,400 ms · $38k/mo AFTER: 280 MS · $14K ZERO DOWNTIME · ROADMAP KEEPS SHIPPING 10-DAY AUDIT

WHAT YOU GET

Proof in numbers, not adjectives

Code editor with performance traces open
Audit

Ten days to a ranked fix plan

Hotspot map, security check and effort estimates your board can read.

Book the audit
Two engineers pairing on a refactor
Embedded squad

We pair, your team owns

Every slice shipped side by side with your engineers, no lock-in.

Scope a squad
Latency and error telemetry dashboard
Performance

p95 back under 300ms

Query repair, caching and read replicas measured before and after.

Speed up my app
Cloud infrastructure racks and cost dashboard
Cloud cost

The bill, cut by a third

Right-sized instances, dead jobs removed, reliability untouched.

Cut my cloud bill

WAYS TO START

Audit first, then fix in slices

Start here

10-Day Code Audit

Know what is actually wrong before spending months fixing the wrong thing.

2 weeks
  • Code, DB, CI and cloud review
  • Ranked fix plan with effort
  • Security and dependency check
  • Walkthrough call with your team
Start with a 10-day audit ↗
Fast relief

Performance Sprint

Fix the slowest endpoints, pages and queries in one focused month.

3 to 4 weeks
  • Production profiling
  • Top query and API fixes
  • CI and build speedup
  • Before and after report
Book a Performance Sprint ↗
Side by side

Embedded Refactor Squad

Senior engineers working alongside your team to pay down debt slice by slice.

8 to 16 weeks
  • Test harness around risky code
  • Module extraction behind flags
  • Framework or DB upgrades
  • Clean handover to your team
Scope a refactor squad ↗

Adjacent disciplines

Profile · Test · Refactor

Ready to speed up the appwithout stopping the business?

Tell us the stack and what hurts most. We reply with how we would approach the ten-day audit.