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open-source
Pytest · PythonJest · JS/TSJUnit 5 · JavaGo test · Godotnet test · C#/.NETCargo test · Rust

novetest is the testing intelligence layer for AI coding agents — from pass/fail to the next action.

AI writes code and tests. But native testing engines were built for humans. Accelerate your AI coding agents with novetest — built specifically for them.

novetest test
$ novetest test// full test pipeline → recommendations
3 recommendations · 3 categories · run_id=01HX7K2P8M3N5R7TQVWXY12345
![regression_with_localization] test_volume_threshold regressed; suspect: apply_volume_discount@23 in .../discount.py (rank 1, score 1.000).
↳ localization_finding .../discount.py:23 (rank 1)
![investigate_location] Suspect: _apply_discounts@41 in .../cart.py (rank 2, score 0.408).
↳ localization_finding .../cart.py:41 (rank 2)
![coverage_gap] Uncovered lines 26-29 inside apply_volume_discount in .../discount.py.
↳ coverage_fact .../discount.py
$
AGENT read regression + localization → patching apply_volume_discount · re-running
// the vision

Close the gap between the productivity and trustworthiness of AI-generated code.
An intelligence layer for adequate testing — built for AI, layered on the engines you already use — is where that begins.

// problem & breakthroughs

Native testing tools were never built for AI.

// the problem
// the breakthrough
01 · wasted tokens

AI burns your tokens reading test results made for humans, not machines.

Tokens go to parsing the testing engine's raw console output and inferring what each line means — instead of acting on a structured result.

01 · one structured report

Structured report data in json and actionable recommendations.

No console parsing and no inference — the agent acts on data, not on text that looks like data.

02 · shallow testing

AI writes just enough tests to feel done — not enough to trust.

A vibe-guided agent only writes the happy-path cases — it never runs coverage-guided generation to find the edges, errors, and branches that actually break.

02 · continuous test suite adequacy evaluation

Adequacy you can actually measure.

Coverage metrics show exactly when the suite is enough — instead of stopping on a vibe. See coverage-based test design in action in our free Test Case Generator.

03 · unchecked regressions

AI ships code faster than you can catch the regressions it breaks.

You watch the codebase grow line by line — but never see the regression failures piling up at the same time.

03 · every regression, with a fix

Every regression caught — with the fix to start from.

Flagged the moment it appears against a known-good baseline, and the tool hands back a ranked, concrete action to debug it — so the agent starts fixing instead of hunting.

// the solution

One ecosystem to run your AI agents' testing — with you in control.

Native runners stay at the bottom. novetest turns their raw output into structured signal your agents can act on.
On top, a planned product family — console and team — adds the dashboard and shared test management to oversee TDD across your whole team.

the novetest ecosystem
novetest consolesoon

Your control plane and dashboard for novetest-driven TDD — see, steer, and review how your agents test.

novetest teamsoon

Team-wide test-suite management and collaborative TDD — one shared source of testing truth.

novetest

The intelligence layer your agents test through — trustworthy, measurable results in place of raw console output.

coverage
memory
regression
localization
replay
orchestration
native testing tools
Pytest
Python
Jest
JS/TS
JUnit 5
Java
Go test
Go
dotnet test
C#/.NET
Cargo test
Rust
// the results

Built for agents. Still readable by you.

novetest inspect prints one run's full report — status, coverage, regressions, fault localization, and flakiness — formatted for human eyes.
novetest localization ranks the suspects behind a failure, each with its file, symbol, line, and a normalized score.

novetest inspect & localization
$ novetest inspect 01HX7K2P8M3N5R7TQVWXY12345 // full report for one run — health, coverage, regressions, localization, replay 01HX7K2P8M3N5R7TQVWXY12345 · failed · pytest (python) · target=<workspace> coverage per-test · 142/165 statements (86.4%) · branches 21/24 regression regressions · regressed=1 fixed=0 still_failing=0 localization sbfl_per_test · ochiai · 5 entries · confidence=high replay inconsistent · 2/5 failed $ novetest localization 01HX7K2P8M3N5R7TQVWXY12345 // ranked suspects behind the failure — file, symbol, line, score sbfl_per_test · ochiai · 5 entries · confidence=high · run_id=01HX7K2P8M3N5R7TQVWXY12345 1. apply_volume_discount@23 in .../discount.py (1.000) 2. _apply_discounts@41 in .../cart.py (0.408) 3. _validate_total@27 in .../tax.py (0.289) 4. _format_currency@12 in .../utils.py (0.155) 5. _normalize_quantity@9 in .../discount.py (0.082) $

// agents are the primary user — humans are welcome too.

// get started

One line to install. Hand the rest to your agent.

Drop novetest into any repo, then point your coding agent at the report.

Linux / macOS
$curl -fsSL https://ailovestesting.com/products/novetest/install.sh | sh ⧉ copy
Windows · PowerShell
>irm https://ailovestesting.com/products/novetest/install.ps1 | iex ⧉ copy
Get started → open-source · Apache-2.0 · Linux, macOS & Windows

Make your agents test with novetest. It's free.

Hand your coding agent the prompt below — it learns, installs, and runs novetest on its own.

Improve your testing with novetest. Learn, install, and use it, starting here → ailovestesting.com/for-agents
Prefer to read it yourself? Open the For Agents page →