AI Native DevCon LDN
The conference for developers building real AI-native systems - agents, specs, workflows, and platforms, at production scale.
From coding agents to production systems
Agentic coding is here. Scaling it without breaking quality, autonomy, or trust is the challenge. AI DevCon brings together developers and tool builders sharing what actually works, from context engineering to AI-native workflows at organizational scale. Two days of deep, practical sessions.
Why Attend
Find your people: Meet senior developers, platform engineers, and toolmakers who are actively shipping with AI coding agents, not just demoing them. This is a room full of practitioners sharing what actually works.
From agent to production: Learn how teams are turning agentic workflows into dependable systems: structured intent, guardrails, evaluation, debugging, and human-in-the-loop control, all the things needed to ship with confidence.
Built for real conversations: Great food, a drink or two, and the kind of deep technical hallway conversations that only happen when everyone’s wrestling with the same problems.
What You’ll Learn
Three tracks focused on moving from early adoption to agentic development at scale.
Operate (Now): Practical patterns for using AI coding agents today, workflows, tooling, evaluation, and best practices you can take back to your team immediately.
Scale (Platform & Enablement): How platform teams and tech leaders are enabling agentic development across organisations: standardisation, governance, DX, and reliability at scale.
Under the Hood: Live demos and technical deep dives into agentic systems, toolchains, and infrastructure, explained, deconstructed, and stress-tested.
Agenda Snapshot
Day 1 – June 1st | In-person + Virtual
Conference talks, live demos & the AI DevCon party 🍻
Day 2 – June 2nd | In-person only
Workshops & deep-dive sessions
Speak at AI DevCon
We are looking for speakers who want to talk about:
Agentic coding is becoming the norm, but scaling it across teams and platforms changes everything. We’re looking for real-world talks on context engineering, agent enablement, and AI-native workflows. If you’ve learned lessons worth sharing, submit a session.