THE AI-CODING ERA IS HERE
AI is changing how software teams write and deliver code. But faster development also creates a new challenge: proving that every change is properly tested and safe to release.
FEA AI connects source-code analysis with test management, helping teams understand code impact, test coverage and release risk before deployment. Built on 25 years of engineering experience, it brings measurable quality control into the AI-coding era.
Trusted across banking, telecom & the public sector
THE GAP THAT OPENED
AI has changed how quickly software teams can create code. But confidence still depends on coverage, validation and traceable quality evidence. When this gap grows, release decisions become slower, riskier and harder to defend.
Code created vs code verified per sprint
Code now arrives faster than teams can review, test and prove with confidence.
Larger and more frequent pull requests create more change than teams can reliably inspect by hand.
As code volume grows, test suites take longer to run and release timelines become harder to protect.
In regulated industries, the widening gap is not just an engineering delay. It becomes business exposure.
THE BRIDGE
You do not close the quality gap by reviewing more code by hand. You close it by connecting code analysis, test coverage and release decisions in one measurable workflow. FEA AI creates a shared quality model from the moment code arrives. The same source of truth supports analysis, monitoring, testing and release decisions.
SourceMeter · ASG
An abstract semantic graph of the codebase - language-precise, the moment code lands.
01 SourceMeter
As soon as code lands, SourceMeter analyzes its structure, complexity and risk. Static analysis builds a precise quality model across 6 languages, 60 plus metrics and security findings.
QualityGate · vs. model
Tracked release over release against a quality model you control.
02 QualityGate
QualityGate tracks code quality release by release against the standards your team defines. Complexity, duplication and security findings stay visible as code volume grows. This helps teams detect quality drift before it turns into release risk.
TestNavigator · selection
Only the tests a change truly needs - regression runtime down ~68%.
03 TestNavigator
TestNavigator connects code changes, test coverage and test cases in one measurable workflow. Teams can identify coverage gaps, prioritize the most relevant tests and support Go/No-Go decisions with objective release evidence.
Quality gate · verdict
PASS → SHIP04 FEA AI
FEA AI brings code quality, coverage, test results and release risks into one decision view. Teams can see whether the release meets the required quality standards before it ships. The result is a clear Go/No-Go decision based on measurable evidence, not assumptions.
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 across 6 languages, giving teams objective insight into the code they maintain.
Explore →
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.
Explore →
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.
Explore →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 PROOF
Every metric, coverage signal and release verdict can be traced back to its source. Teams get the evidence they need for reviews, audits and regulated decision making.
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.
THE COMPANY
FEA AI Solutions is the product company of the FrontEndART Group, a Hungarian owned technology group based in Szeged. Our work builds 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.
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 the toolchain on your code and show what the release decision would look like with measurable quality evidence.
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.
