Scope
Assess a defined repository, branch, commit, or change set against an agreed assessment scope.
JUGNU Services
AI-Assisted Code Safety Assessment
Evidence-based assessment of AI-assisted software changes. JUGNU examines defined engineering scope, challenges observations, and produces structured evidence for technical decision-making.
AVAILABLECommercial service
Evidence Before PASS
JUGNU does not treat an AI-generated claim, a passing test, or a tool result as proof by itself. The assessment connects observations to evidence, verification, challenge, classification, and actionable recommendations.
Assessment capability
What the assessment examines
The exact assessment scope is agreed before execution. Typical work focuses on the behavior and evidence of AI-assisted software changes.
Evidence
Capture relevant source, test, static-analysis, runtime, and configuration evidence where available.
Verification
Challenge observations rather than treating tool output or AI-generated claims as proof.
Findings
Classify material observations with evidence, verification status, confidence, limitations, and recommendations.
Reproducibility
Preserve the evidence needed to understand how an assessment conclusion was reached.
Decision support
Deliver a structured report that helps engineering teams decide what should be fixed, investigated, or accepted.
Engagement model
A bounded assessment workflow
Define
Agree repository, revision, scope, questions, and acceptance criteria.
Assess
Inspect implementation, tests, controls, dependencies, and relevant evidence.
Verify
Challenge material observations through available static and runtime evidence.
Report
Deliver findings, evidence, verification status, limitations, and recommendations.
Start a commercial assessment
Have an AI-assisted change that needs evidence?
Start with a bounded scope. JUGNU will define the assessment questions, evidence requirements, delivery format, and commercial terms before execution.
Request Assessment