// agentic sdlc academy

Learn to orchestrate
the autonomous engineering org.

Short, technical guides for engineering teams moving beyond basic chatbots to production-grade agent workflows.

// learning paths
Select your role
Developers
Building with Agents
How to integrate agents into your IDE and local dev loop.
QA & Test
Autonomous Testing
Leveraging agents for E2E, unit, and visual regression.
Platform/DevOps
Agent Governance
Infrastructure, prompt versioning, and cost controls.
Leaders
The Agent Roadmap
Strategic planning for AI agent adoption in large teams.
// interactive use cases
Deep Dive: Context-Aware Review
Orchestrating a 3-Agent PR Review
How to chain specialised agents on AWS Bedrock.
Medium Complexity
STEP 01
The Context Fetcher
Agent A pulls Jira requirements, previous PR comments, and style guides to build the 'Review Reality'.
STEP 02
The Specialist Reviewer
Agent B (Security) and Agent C (Performance) run parallel reviews against the fetched context.
STEP 03
The Sequencer Synthesis
The Runner collapses findings into a single, structured PR comment with actionable 'Approval' or 'Changes Requested' signals based on your governance rules.
Download: The Agent Fundamentals

A 12-page PDF covering the core concepts of agentic SDLC: Runners, Toolpacks, and Versioned Prompts.

Download Guide →