Technical Documentation

Complete technical guide to AI Pipeline's architecture, integrations, and workflow automation.

Table of Contents

Pipeline Overview

AI Pipeline automates the entire software development workflow from ticket creation to code deployment. The system integrates seamlessly with your existing tools and processes.

Jira
Claude Code
GitHub PR
Review

Code Generation

AI analyzes requirements and generates production-ready code

Test Coverage

Automatically generates unit and integration tests

Documentation

Creates comprehensive docs and comments

Pipeline Steps in Detail

01

Jira Ticket Created

The process begins when a ticket is created or updated in Jira

Technical Details

  • •Webhook triggers on ticket creation or status change
  • •Ticket data includes description, acceptance criteria, labels
  • •Supports Jira Cloud and Server instances
  • •Custom field mapping for project-specific requirements

Integration Details

method:Webhook
endpoint:/api/webhooks/jira
authentication:Bearer Token + Secret Validation
02

Claude Code Processing

AI analyzes the ticket and generates implementation code

Technical Details

  • •Contextual analysis of ticket requirements
  • •Codebase analysis to understand existing patterns
  • •Generates production-ready code following project standards
  • •Creates unit tests and integration tests
  • •Generates comprehensive documentation
  • •Ensures code quality and security best practices

Integration Details

method:Claude API
model:claude-sonnet-4.5
features:Extended thinking, Tool use, Vision
03

GitHub Pull Request

Automatically creates a pull request with generated code

Technical Details

  • •Creates feature branch from base branch
  • •Commits code with descriptive messages
  • •Generates PR description from ticket details
  • •Links PR to original Jira ticket
  • •Adds relevant labels and assignees
  • •Triggers CI/CD pipeline automatically

Integration Details

method:GitHub API
endpoint:https://api.github.com
authentication:GitHub App Installation Token
04

Code Review & Validation

Automated and human review process

Technical Details

  • •AI-powered code review for common issues
  • •Static analysis and linting checks
  • •Security vulnerability scanning
  • •Test coverage verification
  • •Human review assignment
  • •Review comments and suggestions

Integration Details

method:GitHub Checks API
automation:GitHub Actions + AI Review
notifications:Slack, Email, Jira

Supported Integrations

Jira

Project management and issue tracking

Webhook supportCustom fieldsStatus syncComments

GitHub

Version control and collaboration

PR creationCode reviewCI/CD triggersBranch management

GitLab

Alternative version control platform

Merge requestsCI/CDCode reviewIssue linking

Bitbucket

Atlassian's Git solution

Pull requestsPipelinesCode insightsJira integration

API Reference

RESTful API endpoints for integrating AI Pipeline into your workflow.

POST/api/webhooks/jira

Receive Jira webhook events

Authentication: Bearer Token
POST/api/webhooks/github

Receive GitHub webhook events

Authentication: GitHub Secret
GET/api/status/:taskId

Check pipeline task status

Authentication: API Key
POST/api/pipeline/trigger

Manually trigger pipeline

Authentication: API Key

Configuration Guide

Jira Configuration

  • Jira instance URL and credentials
  • Webhook secret for validation
  • Custom field mappings
  • Project and issue type filters
  • Status workflow mapping

GitHub Configuration

  • GitHub App installation and permissions
  • Repository access configuration
  • Branch protection rules
  • PR template customization
  • Reviewer assignment rules

AI Configuration

  • Claude API key and model selection
  • Code generation preferences
  • Test coverage requirements
  • Documentation style guide
  • Security and quality standards

Security & Compliance

Data Protection

  • •End-to-end encryption for all data transfers
  • •Your code is never used to train AI models
  • •SOC 2 Type II compliant infrastructure
  • •Regular security audits and penetration testing

Access Control

  • •Role-based access control (RBAC)
  • •Multi-factor authentication (MFA) support
  • •Audit logs for all actions
  • •IP allowlisting and rate limiting

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