The dream of a single all-knowing AI running your entire SDLC is both admirable and widespread. But in reality, specialized agents with distinct responsibilities outperform generalist systems.
This talk makes the case for using multiple agents across your SDLC: planning, coding, and review agents that enforce code quality without sacrificing long-term velocity.
You'll learn how to optimize AI-assisted developer workflows with system prompts, MCPs, subagents, and context while avoiding common side effects that degrade quality.
Attendees will leave with practical steps to leverage AI throughout the development lifecycle for delivering safer, smarter, and more reliable software.
Nnenna Ndukwe is a Principal Developer Advocate and Software Engineer, enthusiastic about AI. With 8+ experience spanning across startups, media tech, cybersecurity, and AI, she's an active global AI/ML community architect championing engineers to build in emerging tech. She studied Computer Science at Boston University and is a proud member of Women Defining AI, Women Applying AI, and Reg.exe. Nnenna believes that AI should augment: enabling creativity, accelerating learning, and preserving the intuition and humanity of its users. She's an international speaker and serves communities through content creation, open-source contributions, and philanthropy.
