Behind the Build: Build vs. buy, AI agents for prod
The build vs. buy call for production agents is the most expensive one your team will make this year.
Build something internal (Claude plus skills plus runbooks), buy a platform, or compose pieces from both. Each option has a real cost with real long-term impact.
Dave Lawson and Edward Li walk through what they've seen across teams making this call: where internal builds genuinely make sense, where teams underestimate the long-tail maintenance (evals, governance, knowledge drift), and where compose makes more sense than either pure path.
If you're scoping agents now, or already running something and questioning the call, come with your hardest questions.
Featuring

Dave Lawson
Founding Solutions Engineer, Resolve AI
Founding Solutions Engineer at Resolve AI with a background spanning cloud infrastructure, enterprise architecture, and developer platforms. Previously held leadership and solutions roles at Docker, MongoDB, Dell, and Starburst, helping large organizations adopt modern cloud and data technologies at scale.
LinkedIn
Edward Li
Member of Technical Staff, Resolve AI
Member of Technical Staff at Resolve AI focused on LLMs and AI systems. Previously a Staff Software Engineer at Google DeepMind working on Gemini Canvas, with a background spanning large-scale software engineering, machine learning, and research.
LinkedInFAQ
Keep up to date with the latest in AI for prod
Explore Resolve's library of upcoming events, on-demand insights, and releases to level up your eng org.
Explore more events