Non-Determinism
Agentic AI doesn't conform to software reliability. Embrace unpredictability as a feature, not a flaw.
learn more →
✨ World's first conference for Agentic AI engineering ✨
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Agent EngineeringConference 2026
The Engineering Behind Agentic AI
Learn how teams design, evaluate, and operate non-deterministic AI agents in production at scale.
⚡Founders Edition · Limited spaces
London·(Summer 2026)
Next stop: San Francisco (Fall 2026)
Early Bird Tickets Opening Soon
Become a Sponsor>cat README.md
What is Agent Engineering Conference?
// definition
Agent Engineering is the discipline of designing, evaluating, and orchestrating non-deterministic AI systems using explicit specification, feedback loops, and operational guardrails.
AgentEng (Agent Engineering Conference) is world's first conference dedicated to engineering disciplines behind Agentic AI, from intelligent specification and strategic orchestration to evaluation, memory, and context.
We focus on what actually works in production. Real constraints. Real tradeoffs. Real systems.
We bring together practitioners building production-grade agentic systems to define how AI agents are designed, operated, orchestrated and scaled.
Backed by 1,400+ builders from the London Agentic AI community
$ agenteng --list-disciplines
Code
Context
Evaluation
Orchestration
Memory
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From Community to Conference
Born from the vibrant London Agentic AI community, now expanding globally. Join 1,400+ practitioners building the future of AI agents.
2025 Events Recap
Watch highlights from our 2025 meetups and see what makes our community special.
watch now →
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AgentEng London 2026
Join us in the heart of London for the world's first Agent Engineering Conference
1
Day
300+
Attendees
15+
Speakers
London → San Francisco → Global
Venue details coming soon
explore venue →
>Next stop: San Francisco
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The Agent Engineering Manifesto
Models don't read minds. Agent engineering is the discipline of specifying, designing, building, and orchestrating intelligent systems.
Building Agentic AI for production is fundamentally different from traditional software. Every input is an edge case. As foundation models become more capable and increasingly commoditized, the real differentiator shifts to Agent Engineering, the discipline of designing, operating, and orchestrating non-deterministic Agentic AI systems reliably.
Agentic AI emerges when engineering decisions around context, memory, evaluation, orchestration, and tooling and infrastructure are intentionally designed as a modular, future-proof system.
Intelligent specification, human-in-the-loop oversight, and strategic orchestration are foundational.
AgentEng exists to define, share, and advance the engineering behind Agentic AI.
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The Agent Engineering Mindset
Intelligent Specification
Models won't read minds. Clear specs are foundational. Better planning yields better agents.
learn more →
Every Input is an Edge Case
Users can ask anything. Traditional testing fails. Ship to learn, not to be perfect.
learn more →
Strategic Orchestration
Allocating compute, liquidity, and human review efficiently is critical. Manage resources at scale.
learn more →
The Reviewer Framework
Engineering the transition from writing code to architecting agentic reviewers. Focus on validation loops and automated PR gates.
learn more →
Agent Networking
Agents must communicate intelligently. Parallel and sequential workflows prevent conflicts and overlap.
learn more →
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Core Engineering Themes
These engineering disciplines form the backbone of production-grade Agentic AI systems.
>agenteng --themes --list
🧩
Code Engineering
How agents write, modify, and reason over code. Explores autonomous coding systems, IDE-native agents, and agent-driven refactoring workflows.
explore →
🧪
Eval Engineering
How we measure agent behavior in non-deterministic systems. Covers evaluation frameworks, behavioral testing, and reliability guardrails.
explore →
🧠
Memory Engineering
How agents store, retrieve, and evolve state over time. Covers short-term vs long-term memory, retrieval strategies, and personalization.
explore →
🧭
Context & Skills Engineering
The art and science of shaping what an agent sees at runtime. Includes MCP (Model Context Protocol), context construction, compression, and grounding techniques.
explore →
🧰
Harness Engineering
Defines the execution environment around an agent. Wires models to tools, policies, sandboxes, and execution constraints.
explore →
🔗
Multi-Agent Engineering
Focuses on collaboration between agents. Covers communication protocols, task decomposition, and coordination strategies.
explore →
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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.
> explore track
--design-ax
Agent Experience (AX)
Designing machine-readable interfaces, environments, and feedback loops that shape Agent Experience.
> explore track
--future-code
Agentic Coding
How software development evolves as agents become first-class contributors to the SDLC.
> explore track
--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
> explore track
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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
explore →
active
frameworks
Agent & Tooling
- $agent-frameworks
- $orchestration-platforms
- $sdks-and-developer-tooling
- $multi-agent-systems
explore →
active
models
Models and Foundation
- $frontier-model-providers
- $developer-platforms
- $applied-ai-tooling
- $foundation-models
explore →
active
dev-tools
Agent Dev Tools & Frameworks
- $development-frameworks
- $apis-and-sdks
- $testing-tools
- $evaluation-frameworks
- $mcp-tools
explore →
active
agentops
AgentOps & Traceability
- $llm-trace-&-observability
- $opentelemetry-for-agents
- $model-serving-infrastructure
- $inference-engines
- $agent-sandboxes
explore →
active
enterprise
Enterprise & Security
- $iam-for-agents
- $tool-use-guardrails
- $permission-frameworks
- $banking-workflows
- $compliance-automation
explore →
active
>
Who This Conference Is For
Agent Engineering sits at the intersection of software engineering, AI systems, and product design. This conference brings together builders across roles who are actively shaping how agents work in practice.
@builder
Agent Engineers & Builders
Practitioners designing, deploying, and operating real-world agents.
> connect
@ml-engineer
AI / ML Engineers
Working on model integration, evaluation, tooling, and system behavior.
> connect
@platform
Developer Tool & Platform Builders
Teams building frameworks, SDKs, orchestration layers, and infrastructure for agents.
> connect
@product
Product Engineers & Technical PMs
Bridging product intent and system behavior through Agent Experience design.
> connect
@founder
Founders & Technical Leaders
Building agent-native startups or internal platforms.
> connect
@researcher
Researchers & Applied Scientists
Exploring architectures, coordination, and evaluation in applied settings.
> connect
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Speaking on the Future of Working with Agents
Real speakers coming soon. Until then, meet the roles that Agentic AI will create.
Call for Speakers opens Q1 2026
🤖
Chief Agent Officer
Future Corp
"Managing Your First 1000 Agents"
🧑🤝🧑
Human-in-the-Loop Engineer
Hybrid Systems Inc
"When to Let Humans Take the Wheel"
🎯
Agent Experience Designer
AX Labs
"Designing for Machine Users"
🔧
Agent Infrastructure Lead
Scale AI Ops
"Running 10M Agent Requests/Day"
📊
AgentOps Lead
Observability Co
"Debugging Agents at 3AM"
👔
Agent Manager
Autonomous Teams Ltd
"Performance Reviews for AI"
💻
Principal Agent Developer
Agentic Systems
"Writing Code That Writes Code"
🧪
Agent Eval Builder
Test Labs AI
"When Your Tests Have Opinions"
Think you'll have one of these titles? We want to hear from you.
Interested in Speaking?[Coming Soon]
// leadership
AgentEng Program Chair
The Curator's Note
"Prior to founding the AgentEng community, I spent six years on the Developer Experience team at Apple (London/Cupertino), building tools and frameworks used by internal OS developers. In 2025, I launched Superagentic AI as my focus shifted from Developer Experience to Agent Experience, building developer tools for agents and conducting research on agent optimization. I established this conference from the London Agentic AI community to bridge the gap between London and Silicon Valley, sharing best practices for engineering AI agents as intelligence becomes cheap."
- Shashi Jagtap
founder@agenteng ~
$agenteng whoami --founder
[ Shashi Jagtap ]
Founder & Program Chair | Founder, Superagentic AI
> [THE PEDIGREE]
Ex-Apple Engineer (2019-2025). Spent 6 years on the Developer Experience team in London/Cupertino building core frameworks for OS developers. Now engineering the transition from Developer Experience to Agent Experience (AX) at Superagentic AI.
> [THE COMMUNITY]
Organizer of London Agentic AI (1,400+ practitioners). Global leadership veteran in Automation, DevOps, Jenkins and CI/CD communities since 2012.
> [THE TRANSATLANTIC BRIDGE]
Bridging the UK & Silicon Valley ecosystems with strong connections in SV. Recent Speaker/Sponsor at ODSC San Francisco on Agent Optimization.
>
Why AgentEng Is Different
--engineering-first
Engineering-First
No marketing fluff. Real constraints, real trade-offs, real systems.
verified
--agentic-ai
Agentic AI, Engineered
We focus on how Agentic AI works in production, not just what it can do.
verified
--production
Production Lessons
Learn directly from teams shipping agent systems at scale.
verified
--architecture
Architecture Over Demos
We prioritize system design, not surface-level demos.
verified
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Become a Sponsor
Join the engineers and industry experts building the future of Agentic AI systems
A curated gathering of AI practitioners, framework builders, and platform architects shaping how agents are engineered at scale.
Founders Edition: Only 11 sponsorship spots available
Platinum
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Gold
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Silver
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Don't miss your chance to be part of the inaugural Agent Engineering Conference. Spots are filling fast.
Become a Sponsor$ Limited partnerships · Curated for alignment
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Let's Connect
Whether you want to speak, sponsor, or just say hello, we'd love to hear from you.
$ Quick response guaranteed
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Further Reading on Agent Engineering
Agent Engineering surfaced independently across practitioner communities, platforms, and research.
- 1March 2025Why Agent Engineering
- 2December 2025Agent Engineering: A New Discipline
- 3December 2025Reliable Agent Engineering
- 4June 2025Agent Engineering as a Core Practice
AgentEng brings these conversations together, focused on practice over promotion.
>
Frequently Asked Questions
Everything you need to know about the Agent Engineering Conference
Partner With AgentEng
Reach 1,400+ AI practitioners and engineers. Our community is actively building production AI systems. Connect with decision-makers and early adopters.
- Direct access to AI engineering talent
- Brand visibility across events & content
- Speaking & demo opportunities
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Tickets Opening Soon