Gap radar
Pinpoint new and changed methods that never ran under any test.
DRILL4JBuilt for agentic pipelines
The proof layer for AI that ships
Agents invent features and tests at machine speed. Drill4J shows what actually executed — so they stop wasting cycles and stop overlooking under-tested risk.
What Drill4J brings
Execution truth your agents can act on
Not another coverage percentage. Live signals that tell an AI coding agent what changed, what is still under-tested, and which tests are worth running next.
Signals that steer agents
Gap, impact, and time well spent
Three reads that turn raw coverage into action — for humans and for AI coding agents.
Where it integrates
Drop into the agentic loop — not beside it
From PR to pipeline to release gate, Drill4J sits on the critical path: agents generate, CI runs, Drill4J scores reality, agents iterate.
Gap analysis
See what your tests never touched
Spot under-tested code at a glance — how much ran in this release, what was already covered earlier, and where real gaps still hide before you ship.
Comparative test impact
Run the tests that matter for this change
Compare builds, surface open risks on new and modified methods, and get the impacted test set — so AI and CI focus regression where the code actually moved.
Open source · On-premises
Run it yourself. Extend it with us.
OSS, out of the box
Apache 2.0. Deploy on your infrastructure — Docker, Kubernetes, or OpenShift. Code and metrics stay inside your network, ready for private AI stacks.
- Java / JVM applications supported today
- Agents, CI quality gates, and full dashboards included
- Self-hosted — no SaaS dependency
Commercial services
When you need production-ready rollout or deeper fit, we install, provision, and customize Drill4J for your stack and agentic workflows.
- Installation, hardening, and environment provisioning
- Customization and extensions for your project
- .NET and frontend JavaScript available as paid configuration
Give your AI agents a way to know they are right.
Instrument builds. Feed gap and impact signals back into the loop. Ship with evidence — not optimism.