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Coffee With Developers • Oct 23, 2026

Agentic Software Engineering

Dr. Ralf S. Engelschall , Christian Heilmann , Daniel Cranney

Dr Ralf S. Engelschall argues that enterprise AI requires strict engineering constraints to survive. Discover how his open-source toolkit uses LLMs to proactively challenge and refine software architecture.

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#1 about 2 min

Introduction to MSG Group and enterprise software

MSG Group focuses on building large-scale business information systems and navigating industry changes.

#2 about 3 min

Navigating AI transformations in enterprise software

Integrating AI features into legacy enterprise products and developer workflows presents unique challenges for large organizations.

#3 about 6 min

Data sovereignty and the reliance on frontier models

European companies are currently forced to use US-based frontier AI models despite growing data sovereignty concerns.

#4 about 3 min

Token optimization and the reality of open weights

The transition from token maximization to local vector caching highlights the distinction between open weights and true open source.

#5 about 5 min

Balancing agentic AI code generation with software engineering

Distinguishing between throwaway AI-generated convenience apps and compliant, long-lasting enterprise software engineering is crucial.

#6 about 7 min

The convenience and vendor lock-in of AI coding platforms

Modern AI platforms repeat historical patterns of low-code tools by offering rapid development at the cost of vendor lock-in.

#7 about 5 min

Introducing agentic software engineering for structured workflows

Merging traditional software engineering processes like requirements tracing with agentic AI coding tools creates a robust workflow.

#8 about 5 min

Exploring the flexible agentic software engineering toolkit

The ASE toolkit provides modular features like Kanban boards and devil's advocate evaluations for software architects.

#9 about 5 min

Improving AI code generation through relentless project grilling

Interrogating and clarifying requirements before implementation minimizes post-generation adjustments in AI coding workflows.

#10 about 4 min

Web development using AI brief engineering techniques

Combining AI constraints and human briefing generates structured code for web frameworks like Astro and Tailwind.

#11 about 4 min

Open source contributions and real-world toolkit usage

The ASE open source project offers practical applications for internal enterprise teams and external contributors.

#12 about 4 min

Legacy code migration and programming language preferences

The focus on COBOL for banking systems highlights the ongoing need for legacy migration alongside modern TypeScript adoption.

Matching moments

1:35 min

Introduction to agentic AI engineering and code scanning

Isaac Evans Isaac Evans · World Congress 2026 North America

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann Chris Heilmann +2 · LIVE

1:18 min

Rise of AI tools and agentic engineering speed

Serdar Bicer Serdar Bicer · World Congress 2026 North America

3:56 min

The evolution of AI programming and agentic workflows

Fabian Hedin Fabian Hedin · World Congress 2026 Europe

1:24 min

Managing organizational change for AI developer productivity tools

Tomislav Tipurić Tomislav Tipurić · World Congress 2025

5:16 min

Motivations for adopting AI to enhance developer productivity

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