The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation

AI-driven development is shifting from autocomplete to continuous, controllable automation across the SDLC. This talk presents a multi-agent architecture where specialized agents collaborate asynchronously — from planning and analysis to testing and code review. Agents committing work as draft PRs that can be monitored, audited, overridden, and used as means of agent to agent communication. A shared context engine synchronizes knowledge across agents, combining semantic code search, embeddings, and organizational rules. Attendees will learn design patterns for auditable agent workflows, context sharing, and safe developer-in-the-loop automation, and see how such systems can already be customized for real engineering environments today.