Now in private beta

The Autonomous Engineering Agent for Reducing Technical Debt.

Axiom autonomously inspects, optimises, and validates your codebase — reducing complexity, improving performance, and eliminating AI-generated debt before it compounds.

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CI-nativeGitHub-firstMeasurable benchmarksNo workflow disruption

"A study from Amazon concluded 100ms latency cost them 1% in sales"

axiom — health dashboard

monitoring

ModuleHealthComplexityDeltaPR

auth/session.ts

Low+31%#214

api/routes.ts

Low+18%#215

utils/parser.ts

Medium+9%—

queue/worker.ts

High-12%—

db/migrations.ts

Medium+4%#216

Why Now

AI accelerates velocity. It also accelerates debt.

Every AI coding tool ships code faster. But faster means more code — more complexity, more edge cases, more regressions. The tooling to manage that debt doesn't exist yet. Axiom is that tooling.

of engineering teams use AI coding tools daily — up from 12% two years ago

0.0×

increase in code complexity observed in repos that adopted AI tools without guardrails

of performance regressions in production are now attributable to unreviewed AI output

The Problem

AI writes fast. It doesn't write clean.

Velocity without guardrails is just accelerated debt. Every LLM completion gets the job done, but without a systematic way to catch complexity, speed becomes a liability.

Redundant logic that silently piles up across every PR

Performance regressions that ship undetected until production

Infrastructure costs driven by bloated, unoptimised code

Complexity that grows proportionally with AI adoption

The Business Case

Measurable outcomes. Recoverable costs.

Technical debt isn't abstract. It's time lost on maintenance instead of features, and money spent on unnecessary compute.

XX×

faster feature velocity

after first 60 days of Axiom deployment

-XX%

infrastructure cost reduction

average from optimised runtimes

XXh

engineering hours saved

average per sprint on maintenance

How It Works

Three agents. One loop.

Inspector finds the issues. Optimizer fixes them. Validator proves the fix. Only opens a PR if real improvement is confirmed.

Inspector

Continuously scans every commit and PR for complexity spikes, dead code, performance regressions, and AI output patterns.

cyclomatic-complexitydead-codeperf-profile

Optimizer

Generates targeted, safe refactors: dead code removal, loop optimisation, complexity reduction, and runtime improvements.

refactordeduploop-opt

Validator

Runs your test suite, benchmarks runtime and memory, and only opens a PR if the numbers actually improve.

test-runnerbenchmarkmemory

Output Preview

A clean diff. Nothing more.

Every optimisation is delivered as a standard GitHub PR. You see exactly what changed and why before merging.

src/utils/processData.ts

Runtime -38%

@@ -14,18 +14,9 @@ export function processData(items: Item[]) {}

14 const results = [];

15- for (let i = 0; i < items.length; i++) {

16- const item = items[i];

17- if (item.active) {

18- const val = transform(item.data);

19- results.push({ id: item.id, value: val });

20- }}

15+ for (const item of items) {

16+ if (!item.active) continue;

17+ results.push({ id: item.id, value: transform(item.data) });

18+ }

19 return results;

20}

Why Axiom

Not a linter. Not a reviewer. An autonomous agent.

CI-Native

Plugs directly into your existing GitHub or GitLab pipeline. Zero workflow disruption.

github-actions

Benchmarked Fixes

Every refactor is validated against runtime, memory, and test suites.

benchmark-driven

AI-Debt Specialist

Built specifically for the patterns that AI coding tools produce.

ai-aware

Team-Scale

Works across monorepos and distributed teams without manual configuration.

multi-repo

The Impact

Benchmarked. Proven.

Every change is measured. You always know exactly what improved in your codebase.

0/100

Overall Health Score

Composite score across complexity, coverage, performance, and documentation across 47 modules.

-38%avg complexity

+22%test coverage

-31%runtime

Stop shipping debt. Start fixing it.

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