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Apr 12, 2026

The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein

Manuel Klein reveals how AI shifts the software development bottleneck from coding to defining requirements. Discover how Intent Engineers translate core business goals directly into scalable architecture.

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#1 about 3 min

Increased pace of technology adoption in enterprise software

How the rise of advanced artificial intelligence tools accelerates enterprise technology adoption and raises software quality expectations.

#2 about 7 min

Historical evolution of software delivery and agile methodologies

Addressing past inefficiencies in governance, agility, and software deployments to prepare organizations for shifting code development further left.

#3 about 5 min

Eliminating development bottlenecks by shifting closer to business

Leveraging rapid code generation tools to align technical creativity directly with business domain challenges instead of basic deployment hurdles.

#4 about 5 min

Reevaluating developer workloads and cognitive load distribution

Recognizing that writing code naturally accounts for minimal developer time while optimizing workflows for domain knowledge integration.

#5 about 4 min

Defining the intent engineer role for code generation

Transitioning from specific user requirements to higher-level abstraction intents to maximize language model capabilities.

#6 about 4 min

Bridging business and technology with strong technical foundations

Locating the intent engineer tightly with the business while demanding broad technical understanding to prototype feasibility.

#7 about 4 min

Integrating intent-based code generation and agent implementation

Managing the shift from immediate human code review processes to autonomous artificial intelligence agent implementations using targeted tasks.

#8 about 6 min

Identifying candidate profiles for intent engineering role transitions

Utilizing candidates with product ownership, engineering backgrounds, and high conversational competency to bridge business-to-technical workflow gaps.

#9 about 4 min

Structuring and refining engineering intent within business contexts

Formatting concrete goals and compliance needs into structured intents by leveraging contextual artificial intelligence models and documentation.

#10 about 4 min

Planning implementation to enforce enterprise architecture guidelines

Validating artificial intelligence implementation plans to align seamlessly with established organizational architecture constraints and coding standards.

#11 about 5 min

Restructuring engineering departments into highly autonomous micro teams

Scaling down collaborative squads to maximize autonomy and drastically shorten the time to deliver raw business value.

#12 about 5 min

Scaling intent engineering with specialized team topologies frameworks

Supporting newly structured intent engineering groups with cognitive guidelines, observational metrics, and specialized native generative platforms.

#13 about 5 min

Piloting enterprise technology transformations with critical stakeholder representation

Accelerating successful new platform adoption by blending technical proponents and skeptical domain experts within isolated experiment environments.

Matching moments

1:18 min

Shifting the development bottleneck to capturing human intent

Thomas Dohmke Thomas Dohmke · WWC Europe 2026

59 sec

Shifting the development lifecycle from specifications to intent

Dana Lawson Dana Lawson · WWC Europe 2026

4:52 min

Workflow inflection points and the evolution of engineering roles

Peter Caron Peter Caron · WWC Europe 2026

1:57 min

Accelerating AI maturity and the evolution of engineering roles

Alejandro Saucedo Alejandro Saucedo · WWC 2025

2:23 min

The transforming role of developers in the AI era

Mateusz Gren Mateusz Gren +1 · WWC Europe 2026

1:48 min

The evolving role of software engineers alongside agents

David Soria Parra David Soria Parra +3 · WWC Europe 2026

Upcoming sessions on this topic

Open session

World Congress 2026 North America

AI ROI: The Hard Unit Economics of AI-Native Engineering

Manu Gurudatha

Manu Gurudatha, VP of Engineering at PagerDuty

Manu Gurudatha
Open session

World Congress 2026 North America

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Staff Technical Program Manager at Google

Ajita Kanchivakam Ananth
Open session

World Congress 2026 North America

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

AI Agents are Only as Smart as their Context: Building a Real-Time Context Engine at Intuit

Bharat Patel

Lead Software Engineer at Intuit

Bharat Patel
Open session

World Congress 2026 North America

When Humans Stop Writing Code: Rethinking Languages, Compilers, and Responsibility

Simon Auer

Organizer of flutter vienna meetup and CEO of marqably

Simon Auer
Open session

World Congress 2026 North America

Engineering the Pivot: How Creative Strategy Solves the Hard Problems of AI Accuracy and Scale

Shruti Tiwari

AI/ML product manager, Dell

Shruti Tiwari

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