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MutahunterAI

✓ verified, sync 2026-08-20

10 checks on record, most recent 2026-10-29 (responded).

PricingFree
Category Coding
Community scorenot yet rated
First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Address confidence: low. The URL on file may not be MutahunterAI's own domain (for example a marketplace or parked host). The dates below describe checks against that URL; the link between that URL and MutahunterAI itself is not confirmed.

Most recent check 2026-10-29
Result: responded.

Checked on 10 distinct dates, since 2026-08-30. Checked roughly every 6.7 nights on this listing's own record.

2026-10-292026-10-232026-10-222026-10-172026-10-112026-10-052026-09-292026-09-232026-09-172026-08-30

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-10-22 and no change was observed since.

No approved price events on record
No approved price change is on record.

Features

As listed by the vendor, unedited.

  • MutahunterAI supports any language that provides coverage reports in Cobertura XML, Jacoco XML, and lcov formats. This versatility allows seamless integration into diverse development environments.
  • Leveraging Large Language Models (LLMs), MutahunterAI identifies gaps in test coverage and automatically generates unit tests to increase both line and mutation coverage. This feature ensures comprehensive testing without manual intervention.
  • Utilizing state-of-the-art LLM models, MutahunterAI creates context-aware mutants that are more effective in detecting potential faults. These AI-generated mutants have:
  • Higher fault detection potential
  • Fewer equivalent mutants
  • Greater coupling and semantic similarity to real faults
  • MutahunterAI optimizes the testing process by focusing on modified files and lines based on the latest commit or pull request changes. This targeted approach ensures efficient use of resources and faster feedback cycles.
  • The tool automatically analyzes survived mutants, providing valuable insights into potential weaknesses in the test suite and identifying areas for improvement in the codebase.

What it does.

The vendor's own description, unedited, not our claim.

AI-powered automatic test generation and mutation testing tool

registry ID ndock:agent:mutahunterai

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