Agentic Engineering
Structured AI Teams and Spec-Driven Development
Agentic Software Engineering focuses on the design of structured, multi-agent systems that cover the entire software lifecycle — from requirements and testing to security and documentation. Learn how to design agentic workflows that remain auditable, reliable, and human-controlled.
Agentic Engineering
Learn from Industry Leaders about:
- Agentic software engineering patterns from requirement to release
- Designing AI agent teams (coding, testing, review, security, documentation, ops)
- Spec-driven development and automated acceptance via prompts, contracts, and tests
- Technical governance and compliance in agentic workflows (approvals, audit trails, versioning)
- Code-pipeline observability (telemetry, rollbacks, error handling inside agent chains)
- Integration into enterprise CI/CD and regulated environments
- Quality and metrics for AI-generated systems – validation loops, evaluation frameworks, ROI measurement