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An AI-powered debugging pipeline that automates CI/CD failure analysis using ActivePieces and AixBlock. AI agents analyze test logs, suggest fixes, and send structured insights to Slack—making DevOps smarter, faster, and decentralized.

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AI-Powered Debugging Pipeline with ActivePieces & AIxBlock

Screenshot 2025-02-26 at 18 51 13

Overview

Debugging CI/CD failures is a painful and time-consuming process. This project automates failure analysis by leveraging ActivePieces for workflow automation and AixBlock AI agents for decentralized AI-powered debugging.

Whenever a test fails in GitHub Actions, logs are automatically sent to ActivePieces, which triggers AI models (OpenAI, Gemini, etc.) to analyze the failure. The AI then suggests fixes and formats the response for Slack, making debugging faster, smarter, and decentralized.

Workflow Diagram

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How It Works

1️⃣ GitHub Actions runs tests on push and captures failures.
2️⃣ ActivePieces Workflow 1 triggers an AI agent on AIxBlock with failure logs.
3️⃣ AIxBlock AI Agents analyze logs using OpenAI & Gemini models.
4️⃣ ActivePieces Workflow 2 receives AI analysis, formats the response, and sends it to Slack.
5️⃣ Slack Notification delivers structured debugging insights for developers.

Platforms Used

ActivePieces - No-code workflow automation for triggering AI agents.
Website: https://www.activepieces.com/

AIxBlock - AI-powered decentralized compute network for running AI workflows.
Website: https://aixblock.io/

Project Demo

Watch the full video walkthrough here: YouTube Video

Read the full blog here: Blog Link

Contact & Follow

🐦 Twitter: Link
👨‍💻 LinkedIn: Link
🌎 Website: Link

About

An AI-powered debugging pipeline that automates CI/CD failure analysis using ActivePieces and AixBlock. AI agents analyze test logs, suggest fixes, and send structured insights to Slack—making DevOps smarter, faster, and decentralized.

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