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ai-flake-sleuth

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 18 Jul 2026. How this is checked

ai-flake-sleuth is an open-source CLI tool and LangGraph agent that helps developers diagnose and identify flaky tests in continuous integration pipelines. It integrates with GitHub and CI systems to improve test reliability and streamline debugging for engineering teams.

Inferred · not functionally tested

Open SourceMITCLI
Visit PyPI
1star
5features
2026since

Overview

5 features

Purpose: Identifying and diagnosing flaky continuous integration tests to improve code reliability.

Inferred · not functionally tested

Audience: software developers and QA engineers

Inferred · not functionally tested

Functions: analytics, agents, data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Testing & QA space, ai-flake-sleuth takes a focused approach. Inferred · not functionally tested: It focuses on identifying and diagnosing flaky continuous integration tests to improve code reliability. Inferred · not functionally tested: ai-flake-sleuth is an open-source project aimed at software developers and QA engineers. Basis unknown · not verified: ai-flake-sleuth is open source under the MIT license. Basis unknown · not verified: ai-flake-sleuth is available on the command line.

ai-flake-sleuth first shipped in 2026. The project is developed in the open on GitHub with 1 commit in the last 90 days. Inferred · not functionally tested: Key capabilities include flaky test detection, CI integration, and langGraph agent.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Flaky test detection
  • CI integration
  • LangGraph agent
  • Command-line interface
  • GitHub integration

Topics: Inferred · not functionally tested

Tags
flaky-testsci-diagnosislanggraph-agenttest-automation
AI capabilities
Code
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
github
Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed18 Jul · 10:03 UTC
    ai-flake-sleuth seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about ai-flake-sleuth

What is ai-flake-sleuth?
Inferred · not functionally tested: Ai-flake-sleuth focuses on identifying and diagnosing flaky continuous integration tests to improve code reliability. It is catalogued under Testing & QA on PulseGate.
Who should use ai-flake-sleuth?
Inferred · not functionally tested: ai-flake-sleuth is an open-source project built for software developers and QA engineers.
Does ai-flake-sleuth have a free plan?
Basis unknown · not verified: Yes — ai-flake-sleuth is open source under the MIT license and free to use.
What platforms does ai-flake-sleuth run on?
Basis unknown · not verified: ai-flake-sleuth runs on the command line.
Is ai-flake-sleuth still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 1 commit in the last 90 days.
When did ai-flake-sleuth launch?
ai-flake-sleuth first shipped in 2026.
Is ai-flake-sleuth open source?
Basis unknown · not verified: Yes — ai-flake-sleuth is open source under the MIT license, developed on GitHub.

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