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AI TestPilot X
One command. A plain-English user story in. Full QA pipeline out.
10 AI agents, GO/NO GO release decisions, CI/CD native.
$ pip install ai-testpilot-x
$ testpilot run --story "User can login and checkout"

Analyzing requirements... done 3 modules
Generating test cases... done 12 test cases
Verifying coverage... done 87% coverage
Executing tests (MOCK)... done 10 passed · 2 failed
Analyzing bugs... done 2 bugs found
Generating report... done

Release Decision: GO WITH RISK exit 1

Why AI TestPilot X?

🧠
AI-Generated Tests
From a plain-English user story to structured test cases, Selenium scripts, and API tests in seconds.
🔁
Self-Healing Locators
7-level fallback hierarchy. Tests recover from UI changes automatically without manual maintenance.
🐛
RAG Bug Analysis
Drop in a stack trace. Get root cause, similar historical bugs, fix suggestions — all AI-correlated.
🚦
GO / NO GO Decisions
Automated release gate. Exit code 0/1/2 integrates natively with GitHub Actions, GitLab CI, Jenkins.
🧩
10-Agent Pipeline
LangGraph-orchestrated. Each agent is stateful, checkpointed, and independently verifiable.
👁️
Human-in-the-Loop
Approval gate before execution. CI auto-approves. Streamlit dashboard shows a confirmation button.

Quick Install

pip install ai-testpilot-x

pip install ai-testpilot-x[ui]

pip install ai-testpilot-x[all]

git clone https://github.com/sagar-grv/ai-testpilot-x
cd ai-testpilot-x
pip install -e .

Five commands

Command What it does
testpilot init Interactive setup — writes testpilot.yaml
testpilot run Full 10-agent pipeline → GO/NO GO decision
testpilot analyze Test case generation only, no execution
testpilot bugs AI + RAG bug analysis from a log or stack trace
testpilot report Release decision from existing results JSON
testpilot dashboard Launch the Streamlit visual dashboard

Install the AI Agent Skill

Any AI coding agent (Claude Code, Cursor, OpenCode, Copilot) can learn to use AI TestPilot X:

npx skills add sagar-grv/ai-testpilot-x

After installing, your agent understands all CLI commands, the 10-agent pipeline, exit code semantics, and self-healing locator patterns.