The first-ever highly technical conference on Agentic Engineering
>

Agent EngineeringConference 2026

>London isEngineering
PromptContextHarnessMemorySkillsGuardrailInference

The engineering discipline behind Agentic AI

Founders Edition · Limited spaces
London (Summer 2026)
Next stop: San Francisco (Fall 2026)
Become a Sponsor

Tickets are not on sale yet. Join the waitlist for launch updates and early access announcements.

FOUNDERS EDITION
For practitioners building production AI agents
Calls open: speakers + sponsorships · tickets waitlist
>cat README.md

What is Agent Engineering Conference?

// 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.

Backed by 4,000+ builders from the London Agentic AI community
$ agenteng --list-disciplines
Code
Context
Evaluation
Orchestration
Memory
>

From Prompt Engineering to Agent Engineering

AI system engineering keeps specializing in production. In practice, these disciplines converge in one place: Agent Engineering.

Prompt Engineering

Context Engineering

Harness Engineering

Eval Engineering

Memory Engineering

Skills Engineering

Guardrail Engineering

Inference Engineering

Agentic Engineering

discipline::∞

... *.Engineering

convergence::result

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.

>cat agent-engineering/README.md

Agent Engineering is an emerging discipline.

A manifesto, a mindset, and a set of engineering themes for practitioners building serious agentic systems.

ManifestoMindsetPrompt EngineeringContext EngineeringHarness EngineeringEval EngineeringMemory EngineeringAgentic Engineering
read the discipline→
London Venue
>

AgentEng London · Summer 2026

Join us in the heart of London for the first conference dedicated solely to engineering agentic AI systems.

1

Day

300+

Attendees

15+

Speakers

London → San Francisco → Global

Venue details coming soon
>Next stop: San Francisco
>

Advanced Program Tracks

These sessions go deeper into emerging and forward-looking areas of Agent Engineering.

--optimize

Agent Optimization

Automatically Optimze agents across all layers prompts, RAG,Protocols, memory and context.

--design-ax

Agent Experience (AX)

Designing machine-readable interfaces, environments, and feedback loops that shape Agent Experience.

--future-code

Agentic Coding

How software development evolves as agents become first-class contributors to the SDLC.

--business-models

Agentic Business Models

Defining the business models for Agentic AI. Does SaaS still work or FDE is the only way going forward? Explore & Share Business Models

>

The Ecosystem

From frameworks and infrastructure to models, tools, and platforms.

agentic-coding

Agentic Coding

  • $coding-agents
  • $ai-pair-programming
  • $code-review-for-agents
  • $spec-driven-development
  • $code-security-for-agents
active
frameworks

Agent & Tooling

  • $agent-frameworks
  • $orchestration-platforms
  • $sdks-and-developer-tooling
  • $multi-agent-systems
active
models

Models and Foundation

  • $frontier-model-providers
  • $developer-platforms
  • $applied-ai-tooling
  • $foundation-models
active
dev-tools

Agent Dev Tools & Frameworks

  • $development-frameworks
  • $apis-and-sdks
  • $testing-tools
  • $evaluation-frameworks
  • $mcp-tools
active
agentops

AgentOps & Traceability

  • $llm-trace-&-observability
  • $opentelemetry-for-agents
  • $model-serving-infrastructure
  • $inference-engines
  • $agent-sandboxes
active
enterprise

Enterprise & Security

  • $iam-for-agents
  • $tool-use-guardrails
  • $permission-frameworks
  • $banking-workflows
  • $compliance-automation
active
>

Who This Conference Is For

This is a technical conference for people who ship agent systems. Expect architecture, debugging, evaluations, infra trade-offs, and production reliability conversations.

@builder

Agent Engineers & Builders

Hands-on engineers designing runtimes, tool chains, eval harnesses, and on-call operations for agents.

@ml-engineer

AI / ML Engineers

Shipping model integration, inference pipelines, eval workflows, and guardrails in production systems.

@platform

Developer Tool & Platform Builders

Building frameworks, SDKs, orchestration layers, observability, and deployment infrastructure for agent systems.

@product

Product Engineers & Technical PMs

Owning API-level product surfaces, eval targets, and agent behavior quality across releases.

@founder

Founders & Technical Leaders

Leading technical teams building agent-native products or internal automation platforms.

@researcher

Researchers & Applied Scientists

Driving applied research in multi-agent architectures, reliability, and evaluation methodology.

>

Technical Speakers. Demo-First Sessions.

We invite agent builders, researchers, operators, and practitioners working on production-grade agentic systems. Speakers who want to demo live, run real systems, and share engineering lessons with the audience are especially welcome. This format works well here, though it's a strong suggestion, not a requirement.

Suggested format: demo-first + live systems (optional)

Call for Speakers is open.

🧭
--demo-first

Demo-First Sessions

We encourage talks that show the system itself. Terminals, IDEs, logs, dashboards, traces, and live workflows over slide decks.

Slides are welcome for context and takeaways, but the demo is the talk.

🧪
--system-walkthrough

System Walkthrough Format

Showing real systems, architecture, traces, evaluation pipelines, or workflows tends to land really well with this audience. Live coding is welcome but not mandatory.

⚙️
--production-signals

Production Signals

Where you can, reference real system behaviour: latency, reliability, cost, evaluation results. The more grounded in reality, the better.

🔌
--live-reality--backup-ready

Live Systems Welcome

Agentic systems are non-deterministic. If something behaves unexpectedly during a demo, we treat it as engineering signal, not a failure.

A short backup recording is a handy safety net if you want one, but entirely your call.

🔍
--technical-review

Light Technical Review

Submissions get a friendly look from practitioners for clarity and fit. The CFP is open and the bar is about relevance, not polish.

🧭
--practitioner-led

Practitioner-Led Sessions

Talks that teach engineers how systems are actually built and operated resonate most. Real tradeoffs and hard-won lessons over polished narratives.

Bring a production story, a demo plan, and the engineering lessons behind it.

Apply to Speak[demos encouraged]
>

Why AgentEng Is Different

--engineering-first

Engineering-First

No marketing fluff. Real constraints, real trade-offs, real systems.

verified
--demo-first

Demo-First Format

We encourage two anchor slides and hands-on demos for most of the talk.

verified
--failure-normalized

Failure-Normalized

Live demo failures are expected and discussed openly, with backup clips when helpful.

verified
--open-cfp

Open CFP, Technical Direction

The CFP is open and lightweight, with a clear preference for practical engineering depth.

verified
>

Become a Sponsor

Back the engineers building and operating production-grade AI agents.

A curated technical audience with demo-first programming and live system walkthroughs.

Founders Edition: 9 sponsorship spots for a high-signal technical audience

Call for Sponsorships is open.

Platinum
Founding Sponsor

1 position available · By invitation

Gold
ANNOUNCING SOON
ANNOUNCING SOON
ANNOUNCING SOON
ANNOUNCING SOON

4 spots available

Silver
ANNOUNCING SOON
ANNOUNCING SOON
ANNOUNCING SOON
ANNOUNCING SOON

4 spots available

Platinum: Founding SponsorBY INVITATION

1 Platinum position is available by invitation. Gold and Silver tiers are open.

1 invite-only · 8 open

2,000+

Community Members

Demo-First

Speaker Style

Live

Coding + Demo Culture

Secure your sponsorship while founding spots are still available.

Secure Your Spot Now

$ 9 partnerships total · 1 invite-only platinum · 8 open

>

Let's Connect

Whether you want to speak, sponsor, or just say hello, we'd love to hear from you.

Calls for Speakers and Sponsorships are open.

$ Quick response guaranteed

>

Multi-Agent Conference Planning

Watch our agent swarm coordinate in real-time to create the most technically rigorous Agentic AI conference.

LIVE

Orchestrator

Venue

Speakers

Sponsors

Audience

Content

agent-swarm://agenteng-2026
COMMUNITY

Active

Builder Network

TRACKS

6

Core Disciplines

PLATINUM

Invite Only

1 position available

GLOBAL

London

Then San Francisco

The Most Technical Agentic AI Conference

Production patterns. Real failures. No marketing talks. Engineers only.

⚡ Early Bird Opening Soon
>

From Community to Conference

London Agentic AI Meetup is our original base. Luma is now our event home. AgentEng is built on proven technical demand.

4,000+ members · Meetup · Luma

Recent turnout highlights include ACP, Zed, JetBrains (175+), DeepMind (1,900/110), Databricks (150+), Tessl (180+), and the inaugural meetup (150+).

Meetup

Original base

Luma

Event home

YouTube

Recordings

// organisers

Organised by Superagentic AI

Built on community, shaped with practitioners, speakers, and collaborators.

Superagentic AI

Advancing the Agent Engineering discipline and practice

leadership@agenteng ~
$agenteng whoami --chair

[ Shashi Jagtap ]

Conference Chair & Curator · Ex-Apple Engineer (6 years) · Organizer, London Agentic AI

Building the bridge from Developer Experience to Agent Experience. Transatlantic connections between London and Silicon Valley, with programming shaped by a broader technical community.
$links[ LinkedIn ][ X/Twitter ][ Superagentic AI ]
>

Frequently Asked Questions

Everything you need to know about the Agent Engineering Conference

Partner With AgentEng

Reach a highly technical practitioner community actively shipping production agent systems. Connect with decision-makers and senior builders.

  • Direct access to AI engineering talent
  • Brand visibility across events & content
  • Demo-first speaking opportunities (2-slide format)
Become a Sponsor