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AI for code modernization

Code modernization. Done by the model.

Code modernization — porting legacy systems to modern languages — is one of the hardest workloads in software engineering. Conventional approaches either rewrite from scratch (expensive, risky) or translate mechanically (often producing un-idiomatic, brittle code). Aether for code modernization plans the migration in semantics-preserving steps, generates idiomatic target-language code, and verifies behaviour with generated tests at each step.

6 languages
supported cross-migration paths
Semantics
preserving, diffable
Generated tests
verify behaviour at each step
The AI, animated

What the model actually computes.

These are the workloads the AI runs in code modernization — rendered live in SVG. Each panel is the geometry the model is reasoning about, the physics it solves for, and the validation it lands against measured reality.

01 · Live SVG
Cross-language migration
94% semantic equivalence · 6 target languages
The AI

Aether is the AI doing the code modernization work.

Three things to know about the AI underneath every workload on this page. We aren't building a chat surface for your team — we are training a foundation model that plans, runs and reports.

The AI does the discipline

Not a chat interface over your engineers. A foundation model that plans the study, picks the method, runs the agents, validates against measured reality and writes the report. The same shape an experienced practitioner would follow — done by the model.

One model, your context

We don't ship a sibling model per industry. The same Aether weights serve every discipline, but the agents on top are trained against your standards, your historical data and your regulatory posture.

Reality is the regulariser

We train on simulation, instrument and design data — not scraped text. The model gets better the more reality it touches. Reality is what tells it when it's wrong.

What the AI runs here

The work, done by Aether.

These are the workloads Aether already runs in code modernization. Not a wish-list. Each ships with validated benchmarks and traces a senior engineer can read end-to-end.

  • 01

    COBOL → modern

    Banking, insurance, government COBOL migration to Java, Go, or Rust. Idiomatic target output rather than line-by-line transpilation.

  • 02

    Java → Kotlin

    Android and JVM-backend migrations with library-level translation, build-system updates, and CI integration.

  • 03

    Python 2 → 3 / modern

    Long-tail Python 2 migration with type-annotation insertion, dependency-modernisation, and packaging updates.

  • 04

    Perl → Python

    Sysadmin and bioinformatics Perl scripts migrated to maintainable Python with type hints.

  • 05

    Ruby → Python or Go

    Rails-era backends migrated to modern Python (FastAPI) or Go services with equivalent behaviour.

  • 06

    C → Rust

    Memory-safe migrations of legacy C systems with explicit ownership and lifetime annotations.

AI for code modernization

“We are building the AI that does code modernization — not the one that talks about it. Aether doesn't ask your engineers to drive its solvers. It runs the work, validates the artefact and writes the memo.”

What it replaces

The stack today.

The typical stack in code modernization — a half-dozen seven-figure renewals stitched together with internal glue code. We replace the spine; we don't touch the niches that work.

Bespoke per-language migration consultancies
Mechanical transpilers
Rewrite-from-scratch programmes
The specialists at play

The agents in the mix.

Aether coordinates these specialist agents for code modernization. Each is independently deployable, but the coordination — and the foundation model underneath — is what makes them more than a folder of scripts.

plannertranslatortest generatorbehaviour verifierlinter
Regulatory & boundary

How we ship into regulated code modernization.

The pieces that matter to procurement, security review and the regulator. We ship into industries where the boundary is real and the audit is unforgiving.

  • SOC 2 Type II managed cloud, your VPC, or on-prem

  • CVE-aware review at PR time with patch suggestions in-line

  • Capability gating on every shell command and tool call

  • Atomic, revertible commits signed by agent ID and model version

Other industries

The AI is also running here.

A foundation model that serves twenty-two industries today. The same weights, different agents, different pilot patterns. Browse the ones nearest yours.

FAQ

Questions about code modernization.

  • What does Aether replace in code modernization?

    The incumbent stack here — Bespoke per-language migration consultancies, Mechanical transpilers, Rewrite-from-scratch programmes — collapses into one model and one project file, with Aether for software doing the work under one safety story.

  • What outcomes should we expect?

    6 languages (supported cross-migration paths); Semantics (preserving, diffable); Generated tests (verify behaviour at each step) — scoped to your workload and measured against your own acceptance criteria.

  • How does a pilot work?

    Three to eight weeks against a workload and a win condition you co-author. We run alongside your incumbent stack on real cases; if we aren't better on the metric by quarter end, the rest of the quarter is on us.

  • Can it deploy inside our boundary?

    Yes — managed, in your VPC, on-prem or fully air-gapped on Aether Cloud, with the audit trail and provenance the regulated parts of this work require.

The AI is ready for code modernization.

Send us the workload that hurts. We'll come back with a scoped pilot — three to eight weeks, win condition co-authored. If we aren't better on the metric by quarter end, the rest of the quarter is on us.