One platform.
Two products.

CodeIntent® Modernization moves the legacy code: extract the semantic intent, generate the modern target, verify the equivalence. CodeIntent® Governance preserves that same semantic foundation so LLM-assisted workflows have the traceability and verification required for production cutover. Same artifact. Same chain of proof.

What you get

Modernization that actually reaches cutover

Most modernization tools generate confident output for the obvious code and defer the rest. CodeIntent® handles the under-documented edge cases, the self-modifying assembly, the undocumented business rules, and the language families where probabilistic tools break. The full codebase moves — with source-to-target traceability that ends the parallel-run problem.

Why this matters The hard 20% is what keeps modernization programs alive past their deadlines.

Governance underneath your AI investment

In governed modernization workflows, LLMs, copilots, and AI agents can propose changes against the CodeIntent® layer — not just the syntax. CodeIntent® preserves semantic traceability and verifies what changed against source intent. The same artifact that powered the modernization continues to anchor the workflows that follow it.

Why this matters Your developers get the speed of AI. Your CISO gets the audit trail. Same platform.

Deterministic, by construction

CodeIntent® is not probabilistic. Same source produces the same CodeIntent®. Same CodeIntent® produces the same target. The generated artifact — and every change proposed against it — carries a chain of proof back to source. Reviewers see the actual transformation path, not an inferred reconstruction of it.

Why this matters Audit-ready by default. Regulated industries, federal programs, mission-critical systems.

LLMs are not the proof system

Don't replace your AI investment. Govern it.

Probabilistic AI tools are powerful generators. They are not verification systems. They cannot tell you what they touched, why they touched it, or whether the result preserves the behavior your business depends on. CodeIntent® is the deterministic layer that can.

80% · 20%

Probabilistic AI tools can plausibly generate the easy 80% of code conversions. The remaining 20% — edge cases, semantic equivalence at scale, undocumented business rules — is where modernization programs finish or fail. The CodeIntent® deterministic engine handles that 20%, and produces the semantic foundation that LLM-assisted workflows can verify against from then on.

Approach	What it does well	Where it gets stuck
LLM-based modernization	Fast code generation, scaffolding, refactoring	Unresolved semantics, inconsistent edge cases, hallucinated assumptions, no audit trail
AI coding assistants on legacy	Developer productivity, autocompletion, refactor suggestions	No semantic model of what legacy actually does; CISO can't audit what was touched
Offshore conversion	Delivery capacity, manual review, migration labor	Slow remediation, high review burden, hard-to-scale equivalence checking
Rip and replace	Clean-sheet architecture, SaaS standardization	Business disruption, loss of embedded legacy logic, adoption risk
Holonic CodeIntent®	Deterministic modernization plus a persistent governance layer for AI agents	Requires source access, target-state decisions, and customer review of unresolved semantics

LLMs accelerate development. CodeIntent® makes the acceleration safe to ship — and keeps it that way.

Talk to Holonic

See it on your code.

Tell us about the codebase. We'll show what the CodeIntent® for it looks like, and what reaching cutover would require.

Talk to Holonic → See the pipeline →