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80%+ test coverage

80%+ coverage. Without the tedium.

Target 80%, stuck at 50-60%. AI analyzes functions, generates comprehensive tests with edge cases, and updates them when code changes.

Where it breaks today

Target 80%, actual 50-60%. Writing tests is tedious and gets skipped under deadline. Edge cases missed. Tests break when code changes. Test coverage goals you never hit

The fix

We generate comprehensive tests including edge cases and keep them updated automatically.

What we build

An agent is a stack.

01

Comprehensive test generation

Functions analyzed for behavior. Tests generated including edge cases and uncovered paths.

  • Function behavior analysis
  • Edge case coverage generation
  • Uncovered path identification
  • pytest, Jest, JUnit support
Core
02

Automatic maintenance

Tests updated automatically when code changes. Coverage stays high without manual effort.

  • Auto-update on code changes
  • Coverage gap identification
  • 50-70% time reduction
  • 80%+ coverage achievable
Module

How it works

Analyze. Generate. Maintain.

01

Connect your repo

Integrate with GitHub or GitLab. Codecov for tracking.

Step 1
02

AI generates tests

Functions analyzed, tests generated with edge cases.

Step 2
03

Coverage maintained

Tests updated when code changes. Coverage stays above target.

Step 3

What it delivers

Outcomes, in weeks.

80%+ coverage achievable
50-70% less time writing tests
Comprehensive edge case coverage

Before → After

Coverage: 50-60%

80%+ achievable

Before → After

Time writing tests: Hours

50-70% reduction

Before → After

Edge cases: Missed

Comprehensive coverage

Industry benchmark

AI code assistants show highest utility for unit test generation. 90% of developers report reduced task completion time. Developers complete 63% more tasks per sprint with AI assistance.

No lock-in

Built in your stack.

Live in 4-6 weeks. You own the system — sovereign, no vendor lock-in.

  • Testing Frameworks (pytest, Jest, JUnit, etc.)
  • CI/CD (GitHub Actions, Jenkins, GitLab CI, etc.)
  • Code Coverage (Codecov, SonarQube, or your tool)
  • Runtime & Orchestration (Trinity by Ability AI)

Questions

Questions about test generation

How does it handle edge cases?

Function analysis identifies boundary conditions, null/undefined handling, error paths, and type edge cases. Tests generated for all identified paths.

What happens when code changes?

Tests automatically updated to match new function signatures and behavior. No manual test maintenance - coverage stays high automatically.

What results should we expect?

Engineering teams typically save 50-70% of test writing time (5-10 hours/week per engineer). For 15 engineers, that's 3,900-7,800 hours/year = $350K-$700K in capacity. Plus 80%+ coverage reduces production bugs by 30-40%.

What testing frameworks are supported?

pytest (Python), Jest (JavaScript/TypeScript), JUnit (Java), and most major testing frameworks. We configure for your stack.

Do we own the system?

Yes. You own the system. We build the infrastructure in your stack, hand over the keys, and you own it forever - no vendor lock-in.

Start here

Bring one workflow.

A 30-minute working call. We’ll map this workflow to an agent stack and tell you honestly whether it’s worth building.

Test generation agent

80%+ coverage achievable

Comprehensive tests with edge cases generated automatically. 80%+ coverage without the tedium.