Codebase liability audit · v4.0

Turn legacy code into a modern, maintainable platform.

We use AI-led engineering to audit your codebase, draft the fixes, and ship modernisation packages at 40–60% the cost of a traditional consultancy — without distracting your team.

10×
Audit speed
40–60%
Lower cost
100%
Senior reviewed
audit · 882-QX

$ stackrescue scan --repo /platform-core

[ scanning ] 412,042 LOC across 18 services…

[ alert ] Framework EOL · 3 services past end-of-life

[ alert ] N+1 query pattern · billing module L241–L302

[ info ] CI median runtime · 14m 22s (industry: 5m)

[ info ] Test coverage on revenue paths · 38%

Audit complete · 84 findings · £68k est. remediation

[ delivery ] AI-drafted migration · senior-reviewed · fixed fee

Stack-agnostic · we audit any codebase

  • Django
  • Rails
  • Node.js
  • Laravel
  • .NET
  • Java / Spring
  • Go
  • Vue
  • React
  • Angular
  • Next.js
  • AWS · GCP · Azure
01The Problem

Technical debt is not just messy code. It is business risk.

Old codebases create problems that compound over time. Find out where your biggest risks are before they reach the board.

01 · Risk

Slower feature delivery

Every change ripples through fragile, undocumented modules.

02 · Risk

Fragile releases

Brittle deploys, manual steps, and rollbacks during business hours.

03 · Risk

Security vulnerabilities

Unpatched CVEs in stagnant library ecosystems.

04 · Risk

Unsupported dependencies

Frameworks past end-of-life with no upgrade path planned.

05 · Risk

Rising infrastructure cost

Over-provisioned cloud spend with no cost-to-value map.

06 · Risk

Key-person dependency

Production knowledge that lives in one engineer's head.

07 · Risk

Expensive onboarding

New hires take months to ship safely; tribal knowledge gates work.

08 · Risk

Poor test coverage

Revenue-critical paths shipping on hope and manual QA.

02The Process

A clear report. A practical roadmap. A fixed-fee path to improvement.

Step 01

Analyse

We review your codebase, dependencies, architecture, deployment process, and infrastructure. AI accelerates the breadth; senior engineers verify the depth.

Step 02

Report

You receive an indexed technical debt report with risk scoring, priorities, and estimated effort. No vague advice — every finding is traceable to a file, line, or process.

Step 03

Fix (AI-led delivery)

AI generates the migrations, refactors and missing tests against the prioritised roadmap. Senior engineers review every change and ship it as a fixed-fee package — typically 40–60% cheaper than a traditional consultancy doing the same work by hand.

03Services

Six engagements. One discipline.

Each engagement is scoped, fixed-fee, and delivered by a senior engineer — never resold to a junior.

Service · 01

Technical Debt Audit

Identify the biggest engineering risks in your platform across code, infrastructure, and process.

Service · 02

Legacy Framework Migration

Upgrade ageing Django, Vue, React, Node, PHP, Laravel, Rails, or Python projects to current, supported versions.

Service · 03

Cloud & DevOps Review

Improve deployment, observability, CI/CD, reliability, and cloud spend on AWS, GCP, or hybrid stacks.

Service · 04

Test Suite Recovery

Add missing test coverage around revenue-critical workflows so teams can ship safely and refactor with confidence.

Service · 05

Security & Dependency Cleanup

Remove unsupported packages, known vulnerabilities, and risky legacy dependencies from the supply chain.

Service · 06

Acquisition Technical Due Diligence

Assess a software business before acquisition. Quantify cost-to-fix and protect your IRR from hidden technical rot.

04Method

AI does the work. Senior engineers own the judgement.

We don’t just use AI to scan faster — we use it to draft the migrations, refactors and tests themselves. Senior engineers review every change before it ships. That’s why the work costs 40–60% less than a traditional consultancy doing the same scope by hand.

Stage 01 · AI scan

Breadth without missing detail

  • Dependency analysis across the supply chain
  • Code mapping & module duplication detection
  • Test gap detection on revenue paths
  • Change-impact triage & migration planning

Stage 02 · AI drafts the fixes

Migrations written, not just recommended

  • Generated migration diffs for every prioritised finding
  • Refactor patches for duplicated & fragile modules
  • Missing tests scaffolded around critical flows
  • Updated documentation & runbooks per change

Stage 03 · Senior engineer ships

Judgement that compounds

  • Every AI-drafted PR reviewed line-by-line
  • Architecture decisions & trade-offs owned by humans
  • Final recommendations to the board
  • Fixed-fee delivery against defined scope
10×
Audit speed
40–60%
Lower cost vs traditional consultancy
100%
Senior-engineer reviewed
05The Deliverable

What the audit report includes.

An indexed binder of findings — every issue traceable, every recommendation costed, every fix optional.

  • 01   Executive summary
  • 02   Technical debt score
  • 03   Dependency risk
  • 04   Framework age
  • 05   Security issues
  • 06   Deployment risk
  • 07   Test coverage
  • 08   Infrastructure concerns
  • 09   Quick wins
  • 10   30 / 60 / 90 day roadmap
  • 11   Fixed-fee remediation options
Request a Sample Report
Report · DX-4029Confidential · NDA

Executive summary

Platform Core · Audit Findings

Analysis of the Django monolithic core reveals significant database contention and an expired security baseline. Recommendations include migrating signals to an asynchronous event bus and decoupling the reporting engine before Q4.

0.82

Risk · High

Core API latency

p95 · 1,420 ms

0.45

Risk · Med

Vue 2 deprecation

EOL · 31 Dec

0.12

Risk · Low

CI pipeline caching

Quick win · 2d

Findings register

  • 01Django 3.2 — security support expiredCritical
  • 02N+1 query pattern in billing/views.pyHigh
  • 03Vue 2 reaching end-of-life (Q4)High
  • 04Deploy pipeline median 14m — no cachingMed
  • 05Test coverage on revenue paths · 38%Med
  • 06Unused micro-dependencies in package.jsonLow

Debt score

84 / 100

Perf. drag

12.5%

Est. remediation

420 h

06Pricing

Three audit tiers. All fixed fee.

We work on a fixed-fee basis. No hourly billing, no open-ended contracts. You pay for outcomes, not effort.

Starter Audit

£2,500

fixed fee · For smaller products or a single repository.

  • One codebase
  • Dependency review
  • Architecture review
  • Risk summary
  • Prioritised recommendations
Book an Audit
Most common

Growth Audit

£5,000

fixed fee · For active SaaS products with production users.

  • Multiple repositories
  • Deployment review
  • Infrastructure review
  • Security review
  • Technical debt roadmap
  • Fixed-fee implementation estimate
Book an Audit

Deep Audit

from £10,000

scoped per platform · For larger platforms, acquisition due diligence, or high-risk systems.

  • Full platform review
  • Infrastructure & data review
  • Engineering process review
  • Detailed remediation plan
  • Board-level summary
Book an Audit
08Economics

Why we’re 40–60% cheaper.

A traditional consultancy bills humans for every line of code they touch. We bill outcomes — because AI handles the volume and seniors only show up for the decisions that matter.

Reason 01

AI does the grunt work

Migrations, refactors, test scaffolding and documentation. Hours of senior-engineer time become minutes of compute.

Reason 02

Seniors only on judgement

Architecture calls, trade-offs and sign-off. No junior consultants billed at senior rates to make up the hours.

Reason 03

Fixed scope, no drag

You pay for the outcome defined in the audit, not the time it takes us to deliver it. Overruns are our problem.

Same outcome. 40–60% less cost. Delivered in weeks, not quarters.

07Delivery

From report to resolution.

Most audits end with a fixed-fee proposal to remove the highest-value technical debt. You decide which packages to greenlight; we deliver against a defined scope and date.

Discuss a Modernisation Package

Prices reflect AI-led delivery with senior-engineer review — not agency day rates. Expect 40–60% less than a traditional consultancy for equivalent scope.

  • Upgrade legacy framework (Django, Rails, Laravel, .NET)£8–14k
  • Migrate frontend (Vue 2 → 3, Angular.js → modern, jQuery → React)£12–28k
  • Modernise Node.js services (EOL versions → LTS + ESM)£6–12k
  • Replace fragile deploys with CI/CD£7–16k
  • Add tests around revenue-critical flows£6–12k
  • Reduce cloud spend & right-size infrastructure£5–10k
  • Remove unsupported dependencies & CVEs£4–9k

Ranges indicative · AI-led delivery · Senior review on every PR

08Fit

Who this is for — and who it isn’t.

Good fit

  • SaaS companies with ageing platforms
  • CTOs with too much backlog to modernise properly
  • Founders preparing for investment or sale
  • Buyers evaluating software acquisitions
  • Any stack: Django, Rails, Node, .NET, Laravel, Java, Vue, React, Angular
  • Businesses with key-person dependency

Not a fit

  • Brand-new startups with no users
  • Teams wanting cheap code generation
  • Companies unwilling to give codebase access
  • Projects with no commercial value to protect
09FAQ

Common questions.

10Next step

Find out where your biggest risks are.

A 30-minute discovery call is the fastest way to scope an audit that fits your platform and risk profile.