Agent Optimization
Automatically Optimze agents across all layers prompts, RAG,Protocols, memory and context.
Deep technical talks for CTOs, agent builders, AI researchers, and technical leaders shipping production-grade agent systems.
Tickets are not on sale yet. Join the waitlist for launch updates and early access announcements.
// definition
Agent Engineering is the discipline of software engineers who direct, orchestrate, and validate AI coding agents, shifting from writing code to specifying intent, shaping context, and coordinating agent teams that build, test, and ship software reliably.
AgentEng (Agent Engineering Conference) is the first conference dedicated solely to the engineering disciplines behind Agentic AI coding, from orchestrating multi-agent systems and specifying intent precisely, to evaluation, harness design, and context engineering.
As coding agents (Claude Code, Cursor, Devin, Copilot Workspace) become core to how software is built, the engineer's role shifts from writing code to directing, reviewing, and orchestrating the agents that write it.
We bring together practitioners doing this in production. Real constraints. Real tradeoffs. Real systems.
AI system engineering keeps specializing in production. In practice, these disciplines converge in one place: Agent Engineering.
discipline::01
Prompt Engineering
discipline::02
Context Engineering
discipline::03
Harness Engineering
discipline::04
Eval Engineering
discipline::05
Memory Engineering
discipline::06
Skills Engineering
discipline::07
Guardrail Engineering
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Inference Engineering
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Agentic Engineering
discipline::∞
Context, evals, memory, harnesses, skills, guardrails, inference, and agentic orchestration converge in production systems engineering.
Prompt Engineering
Context Engineering
Harness Engineering
Eval Engineering
Memory Engineering
Skills Engineering
Guardrail Engineering
Inference Engineering
Agentic Engineering
discipline::∞
... *.Engineering
Agent Engineering
Production agentic systems require more than prompt engineering. They depend on context, harnesses, evals, memory, skills, guardrails, inference, and agentic orchestration working together as one engineering discipline.
A manifesto, a mindset, and a set of engineering themes for practitioners building serious agentic systems.

Join a curated room of technical builders at Everyman Canary Wharf (TBC) in London for a single-track day on engineering agentic AI systems.
Day
Attendees Max
Single Track
Everyman Canary Wharf (TBC) → London → 16 July 2026
One curated technical track, built around deep system walkthroughs, practical lessons, and hard engineering trade-offs.
Automatically Optimze agents across all layers prompts, RAG,Protocols, memory and context.
Designing machine-readable interfaces, environments, and feedback loops that shape Agent Experience.
How software development evolves as agents become first-class contributors to the SDLC.
Defining the business models for Agentic AI. Does SaaS still work or FDE is the only way going forward? Explore & Share Business Models
From frameworks and infrastructure to models, tools, and platforms.
This is a technical conference for people who ship agent systems. Expect architecture, debugging, evaluations, infra trade-offs, and production reliability conversations.
Hands-on engineers designing runtimes, tool chains, eval harnesses, and on-call operations for agents.
Shipping model integration, inference pipelines, eval workflows, and guardrails in production systems.
Building frameworks, SDKs, orchestration layers, observability, and deployment infrastructure for agent systems.
Owning API-level product surfaces, eval targets, and agent behavior quality across releases.
Leading technical teams building agent-native products or internal automation platforms.
Driving applied research in multi-agent architectures, reliability, and evaluation methodology.
We invite agent builders, researchers, operators, and practitioners working on production-grade agentic systems. We are looking for technically grounded talks on how agents are designed, evaluated, deployed, and operated. Demos and live walkthroughs are welcome when useful, but the core requirement is engineering depth.
We are looking for clear engineering talks on agent systems: architecture, orchestration, evals, memory, tools, context, and production tradeoffs.
Demos, traces, logs, or workflows are welcome when they make the technical point sharper.
Talks can walk through real systems, architectures, evaluation pipelines, operational lessons, or design decisions from building agents.
Where you can, reference real system behaviour: latency, reliability, cost, evaluation results. The more grounded in reality, the better.
Speakers are invited for production stories, technical arguments, and engineering lessons from real agent systems.
No marketing fluff. Real constraints, real trade-offs, real systems.
Talks focus on agent systems, tradeoffs, implementation detail, and lessons from real engineering work.
Agent systems are non-deterministic. We value honest discussion of failures, constraints, and operational surprises.
Speakers are invited for practical engineering depth, clear relevance, and real experience building agent systems.
Back the engineers building and operating production-grade AI agents.
A curated technical audience for practical talks, system walkthroughs, and production lessons.
Call for Sponsorships is open.
Founding Sponsor
Lead presence for a technical partner shaping the Agent Engineering conversation.
Engineering Partner
For teams with serious tooling, infrastructure, eval, or agent product stories.
Ecosystem Partner
Support the builder ecosystem and connect with a highly technical audience.
Platinum, Gold, and Silver packages are open for technically relevant partners.
~5,000
London Agentic AI Builders
Technical
Speaker Style
Practical
Systems + Lessons
Partner with a smaller, highly technical room of curated builders.
View Sponsorship Tiers$ Everyman Canary Wharf (TBC) · London · 16 July 2026 · max 200 attendees
Suggest a technical speaker, enquire about sponsorship, or get in touch with the team.
Invited speakers · sponsorships open · tickets waitlist
$ Quick response guaranteed
Watch our agent swarm coordinate in real-time to create the most technically rigorous Agentic AI conference.
Orchestrator
Venue
Speakers
Sponsors
Audience
Content
Active
Builder Network
6
Core Disciplines
Invite Only
By invitation
London
Then San Francisco
Production patterns. Real failures. No marketing talks. Engineers only.
AgentEng grows out of London Agentic AI, the UK's original high-signal Agentic AI builder community. Nearly 5,000 builders now connect through its dedicated community site and event programme.
Recent turnout highlights include ACP, Zed, JetBrains (175+), DeepMind (1,900/110), Databricks (150+), Tessl (180+), and the inaugural meetup (150+).
// organisers
Built on community, shaped with practitioners, speakers, and collaborators.
Superagentic AI
Advancing the Agent Engineering discipline and practice
Conference Chair & Curator · Ex-Apple Engineer (6 years) · Organizer, London Agentic AI
Everything you need to know about the Agent Engineering Conference
Reach a highly technical practitioner community actively shipping production agent systems. Connect with decision-makers and senior builders.