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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 · World Congress 2026 Europe

59 sec

Shifting the development lifecycle from specifications to intent

Dana Lawson Dana Lawson · World Congress 2026 Europe

4:52 min

Workflow inflection points and the evolution of engineering roles

Peter Caron Peter Caron · World Congress 2026 Europe

1:57 min

Accelerating AI maturity and the evolution of engineering roles

Alejandro Saucedo Alejandro Saucedo · World Congress 2025

2:23 min

The transforming role of developers in the AI era

Mateusz Gren Mateusz Gren +1 · World Congress 2026 Europe

1:48 min

The evolving role of software engineers alongside agents

David Soria Parra David Soria Parra +3 · World Congress 2026 Europe

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