THE TRUST LAYER FOR AI SOFTWARE DEVELOPMENT
Every piece of software has two descriptions that are supposed to agree: the spec that says what it should do, and the code that says what it actually does. AI now writes code faster than any team can re-read it — and increasingly writes the tests that check it too.
FEA AI is The Loom, the trust layer that keeps spec, code and product in agreement as AI accelerates development. Built on 25 years of source-code analysis and test management, it turns that agreement into evidence a team can act on before it ships.
Trusted across banking, telecom & the public sector
THE GAP THAT WIDENED
Every codebase carries a spec model — what it's meant to do — and a code model — what it actually does. Keeping them aligned was always work; it used to be survivable because drift accrued slowly and a human could still read the code to close the gap. AI removes both: code changes faster than anyone can re-comprehend it, and increasingly no one reads it line by line before it ships.
Code created vs code verified per sprint
Code now arrives faster than teams can review, test and prove with confidence.
Reading the code was how humans caught drift. No one reads AI-written code line by line anymore.
The same AI that writes the code increasingly writes the tests that check it — the alignment claim can conceal its own failure.
In regulated industries, the widening gap is not just an engineering delay. It becomes business exposure.
HOW THE LOOM WORKS
You do not close the alignment gap by reviewing more code by hand. Two human-supervised checkpoints — Specify and Validate — flank an autonomous middle where FabrQ's agents build and review against that spec. A person is pulled in only when the code and the spec genuinely diverge.
FibR · spec
The spec captured in FibR, grounded against the code that already exists.
01 Business Analyst · FibR
A human and AI co-author the spec together. It is captured into FibR, the knowledge base that holds the spec, code and product models in one place - the first of the two jobs a person owns end to end.
FabrQ · autonomous
FabrQ's agents plan and build from FibR - no human in the loop until something needs one.
02 Architect + FabrQ
FabrQ's Architect agent plans the structure from FibR, then generates the code. This step runs autonomously end to end; a person is pulled in only when the next step finds a genuine divergence.
Reviewer agent · vs. spec
ALIGNED03 SourceMeter · QualityGate
Deep static analysis and an AI reviewer check the generated code against the spec and your quality profiles, across 60 plus metrics. A human is pulled in only when the two genuinely diverge.
TestNavigator · selection
Only the tests the change truly needs - regression runtime down ~68%.
04 TestNavigator · Tester agent
The Tester agent runs TestNavigator against the running product, and a human confirms it does what the spec asked. This is the second and last place a person is required - the loop's other human-owned job.
THE PRODUCTS
Each product works on its own and is already used in demanding enterprise environments. Together, they create the infrastructure teams need when AI accelerates code creation but quality, testing and release decisions still require evidence.
SourceMeter builds a precise quality model of your codebase through deep static analysis. It measures complexity, duplication, coverage related indicators and security findings, giving teams objective insight into the code they maintain.
QualityGate turns code quality metrics into controlled release standards. Teams can track how quality changes over time, define their own thresholds and detect quality drift before it becomes release risk.
TestNavigator makes test coverage visible across manual and automated testing. It highlights coverage gaps, prioritizes test cases based on changes and complexity, and supports Go/No-Go release decisions with objective metrics.
THE PLATFORM
FibR and FabrQ are not tools you run on demand - they are the technologies that make the loop itself autonomous, in active development today.
In developmentKnowledge base
FibR is the queryable knowledge base holding the spec, code and product models in one place - fed continuously by SourceMeter, QualityGate and TestNavigator, and read by every agent in the loop.
Get in touch →
In developmentAI agent platform
FabrQ runs the specialized agents that plan, build, review and validate against the spec - autonomous by default, with a human pulled in only when something genuinely diverges.
Get in touch →WHY FEA AI
THE ENGINE
SourceMeter is built on ASG technology developed through decades of research and engineering. It creates a precise semantic model of the codebase, not a shallow AI wrapper.
THE ECONOMICS
Re-deriving alignment by hand always cost more than teams could pay, so it was the first thing every sprint cut. FibR already holds the spec and code models - alignment is looked up, not re-derived, so its cost stays near zero as AI writes faster.
THE PERIMETER
FEA AI can run on premise or self hosted. Source code stays inside your environment, supporting the security expectations of banking, defence, healthcare and public sector teams.
WHERE WE SIT
We sit in a different layer from the models and the coding assistants. That keeps us complementary, not in their blast radius.
FRONTIER MODEL LABS
They generate more code, faster. They optimize generation, not the correspondence that keeps two models honest.
CODEGEN TOOLS & AI AGENTS
They produce code inside the editor. They don't own the correspondence between what was asked for and what shipped.
THE LOOM
A deterministic, language-precise layer every one of them can call to keep spec, code and product in agreement.
Capability gets leapfrogged by the next model release. Regulation does not. Under the EU AI Act and DORA, proof that spec, code and product agree is not a by-product of the loop — it is the evidence a regulated release needs.
THE COMPANY
FEA AI Solutions is a Hungarian owned product company based in Szeged, built on 25 years of software quality, source code analysis and AI related research.
We bring proven engineering tools from enterprise and R&D environments to software teams across Europe, with a clear focus on measurable quality, auditability and secure deployment. That work is now The Loom - the trust layer built to keep spec, code and product in agreement.
Built in the EU. Owned in Hungary. Designed for teams that need to keep software quality under control as AI changes development.
GET STARTED
Bring a real repository to a working session. We will run SourceMeter, QualityGate and TestNavigator on your code and show what the spec-to-product picture looks like today, with measurable evidence behind it.
Your code, your stack, inside your environment.
SourceMeter, QualityGate and TestNavigator work together on the same codebase.
A clear view of what is ready to ship, what is not and where evidence is missing.
