AI-Powered Test Quality

AI Writes Your Code.
Now Let AI Test It Too.

The first test quality platform that scans your codebase, finds gaps, and generates tests that actually pass.

1

Claude Code Plugin

Recommended

MCP tools + slash commands

/plugin marketplace add devness-com/coverit/plugin install coverit@coverit
2

MCP for Other AI Tools

Recommended

Cursor, Windsurf, VS Code, etc.

npx @devness/coverit
3

Standalone CLI

Recommended

Use directly in any project

npx @devness/coverit scan
Get Started
npx @devness/coverit
coverit interactive
bash
0 %
Confidence
Quality Score
Scanning Codebase
AI Writing Tests

The AI Speed Trap.

AI removed the bottleneck of writing code. You're shipping 10x faster, but your test suite is still running at human speeds.

Speed creates risk

The faster you move, the more you need a safety net. Gut-feel testing doesn't scale with AI-generated features.

Coverage is a Lie

80% line coverage means nothing if your tests don't check security, stability, or real-world contracts.

No Shared Bar

Every dev prompts AI differently. You need a single, objective score that defines what "safe to ship" means.

Signal over Noise

Stop sifting through test logs. Get a high-fidelity confidence signal that tells you exactly where you stand.

The Testing Diamond

E2E 10%

E2E Focus

Critical user paths

API 15%

API Focus

Contract validation

Integration 50%

Integration Focus

Business logic boundaries

Unit 20%

Unit Focus

Low-level implementation

Contract 5%

Contract Focus

Provider agreements

"Focus on the boundaries where real bugs live."

Quality is One Command Away.

Four commands that build your safety net. Click a step below to simulate how Coverit works.

Live Simulation

Watch how AI analyzes, generates, and verifies quality in real-time.

coverit status
bash

Measure What Actually Matters.

No more gut feelings. Coverit maps your codebase against five core quality dimensions inspired by ISO 25010.

Functionality
Confidence 88%

Core logic and business rule validation.

Security
Confidence 95%

Vulnerability detection and access control.

Stability
Confidence 74%

Error handling and resilience patterns.

Conformance
Confidence 65%

API contract and standard compliance.

Regression
Confidence 92%

Verification of existing behavioral safety.

coverit.json
Live Sync
"projectName": "my-api",
"score": 82,
Confidence Level: High
"dimensions": {
"functionality": { "score": 88, "gaps": 3 },

functionality Analysis

3 gaps remaining in this dimension.

"security": { "score": 95, "gaps": 0 },

security Analysis

0 gaps remaining in this dimension.

"stability": { "score": 74, "gaps": 7 },

stability Analysis

7 gaps remaining in this dimension.

"conformance": { "score": 65, "gaps": 5 },

conformance Analysis

5 gaps remaining in this dimension.

"regression": { "score": 92, "gaps": 1 },

regression Analysis

1 gaps remaining in this dimension.

},
"modules": [ ... ],
"journeys": [ ... ]

"The single, git-tracked source of truth for your test quality."

One File. One Score.
Total Transparency.

The coverit.json manifest is your single source of truth. It's git-tracked, which means quality becomes part of your PR process.

  • Git-Tracked Quality

    Watch your score improve across commits.

  • Cross-Session Memory

    AI remembers previous runs and findings.

  • Human Readable

    Verify exactly what the AI found and fixed.

"I Can Just Ask ChatGPT."

You can. But manual prompting is a single-point failure. Coverit turns individual effort into institutional quality.

Manual AI Prompting

×

Developer decides what to test

×

No memory between sessions

×

Every developer prompts differently

×

Developer judges "enough"

×

Security checked separately (or not)

×

No visibility into gaps

Coverit

Standard knows what's missing

coverit.json remembers everything

Same standard for the whole team

Score tells you objectively

Security is always evaluated

Gaps quantified, prioritized, tracked

Prompting is a task. Coverit is a system.

Built on Proven Ground.

The industry already proved developers can own quality — with the right infrastructure.

"Write tests. Not too many. Mostly integration."

Guillermo Rauch

CEO of Vercel

"The more your tests resemble the way your software is used, the more confidence they can give you."

Kent C. Dodds

Creator of Testing Library

The Infrastructure Gap

Elite engineering teams eliminated dedicated QA years ago. They didn't just tell developers to "test more" — they built custom internal tools to make quality automatic.

Most teams can't afford to build that. That's what coverit is.

Aligned with Industry Standards

ISO 25010 OWASP Top 10 Testing Diamond ISTQB Compliant

Built for Real Quality

Everything AI-driven. No heuristics, no guesswork — just real analysis and real tests.

AI-Driven Analysis

No heuristics. AI explores your code with real tool access — reads files, searches patterns, runs commands.

5 Quality Dimensions

ISO 25010 mapped: Functionality, Security, Stability, Conformance, and Regression testing.

Smart Test Generation

AI generates tests, runs them, fixes failures. All in one command.

Testing Diamond

Integration ~50%, Unit ~20%, API ~15%, E2E ~10%, Contract ~5%. The right balance.

Persistent Manifest

coverit.json tracks everything. Git-tracked, cross-session, your single source of truth.

Multiple AI Providers

Claude, Gemini, Codex, Ollama, OpenAI, Anthropic API. Use what you have.

Three Ways to Install

Choose the path that fits your workflow.

1

Claude Code Plugin

Recommended

MCP tools + slash commands

/plugin marketplace add devness-com/coverit/plugin install coverit@coverit
2

MCP for Other AI Tools

Recommended

Cursor, Windsurf, VS Code, etc.

npx @devness/coverit
3

Standalone CLI

Recommended

Use directly in any project

npx @devness/coverit scan

Open Source, Open Quality

The testing infrastructure that Big Tech built internally shouldn't require Big Tech budgets. coverit is open source under AGPL-3.0 — transparent, measurable, and community-driven.

Licensed under AGPL-3.0