Coding agents are already becoming part of everyday development. But a generic agent does not know your enterprise domain, engineering practices, systems, boundaries, or how your organisation determines that work is correct.
An Engineering Harness is the team-specific layer that provides this context, connects the required capabilities, enforces boundaries, and validates outcomes. In this workshop, you will learn what an Engineering Harness is, why coding agents alone are insufficient for enterprise applications, and how harness engineering can turn isolated AI usage into a scalable, organisation-wide engineering capability — from epic to production.
Key Takeaways
- Beyond AI Coding Assistants: Learn how to think beyond isolated chat assistants and apply AI across the entire software engineering lifecycle.
- End-to-End Orchestration: Understand how an Engineering Harness orchestrates AI agents, tools, and workflows from requirements through to production.
- Human-in-the-Loop vs. Automation: Identify where human-in-the-loop controls are essential and where engineering tasks can safely be automated.
- Architectural Patterns: Discover practical architectural patterns and considerations for embedding AI-powered workflows into real-world development environments.
- Multi-Agent Collaboration: Explore how multi-agent collaboration (including approaches such as Huddle) facilitates technical reasoning, trade-offs, and decision validation.
Target Audience
- Software developers, full-stack engineers, backend/frontend engineers, and DevOps/platform engineers.
- Tech leads, enterprise architects, and engineering managers looking to scale agentic engineering practices.
- Developers interested in AI-assisted and agentic software engineering within enterprise environments.
Prerequisites
- Basic understanding of software development and the software delivery lifecycle.
- Familiarity with Git, CI/CD, APIs, and cloud-based development environments is helpful but not mandatory.