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Coffee With Developers β€’ Mar 9, 2026

AI for Enterprise Developers - Dr. Damir Dobric

Damir Dobric

Dr. Damir Dobric argues that AI hallucination is a feature, not a bug. Learn how developers can build secure, deterministic workflow agents tailored for strict enterprise requirements.

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#1 about 3 min

Balancing architectural leadership with hands-on development

Remaining hands-on with code enables lead architects to properly evaluate modern technologies.

#2 about 3 min

Designing agentic AI solutions for the enterprise

Building an AI agent solution requires transitioning from private prototypes to strict corporate environments.

#3 about 5 min

Aligning generalized AI capabilities with business expectations

Generalized large language models cannot automatically solve complex corporate revenue challenges without proper context.

#4 about 4 min

Mitigating non-determinism and hallucinations in modern LLMs

The lack of parameter control in newer models requires advanced strategies to ensure consistent responses.

#5 about 6 min

Managing GDPR regulations and compliance frameworks

Complex safety rules and privacy regulations significantly impact the deployment speed of software environments.

#6 about 4 min

Securing API secrets and preventing shadow AI usage

Safely enabling internal environments prevents developers from leaking sensitive code and passwords to public AI services.

#7 about 3 min

Handling state persistence in multi-step AI tasks

Retaining state persistence remains a significant challenge when chaining advanced multi-step model actions.

#8 about 3 min

Anchoring models to specialized enterprise business logic

Custom architectures must inject specialized company processes rather than relying on generalized internet knowledge.

#9 about 2 min

Connecting datasets with the Model Context Protocol

The Model Context Protocol operates as a connectivity layer to safely bring external data into isolated models.

#10 about 4 min

Leveraging cross-domain knowledge at developer conferences

Connecting with engineers across varied technology stacks provides perspectives unavailable in regular corporate ecosystems.

Matching moments

3:33 min

Crucial lessons for deploying generative AI in enterprises

Alexander Trusheim Alexander Trusheim +1 Β· WWC 2025

1:50 min

Challenges with language models in enterprise production environments

Ashish Sharma Β· LIVE

3:13 min

Why scaling AI is harder than traditional software

Deivids Vilkinsons Deivids Vilkinsons +3 Β· WWC Europe 2026

2:02 min

Addressing common enterprise AI misconceptions

Deivids Vilkinsons Deivids Vilkinsons +3 Β· WWC Europe 2026

6:30 min

Challenges of transitioning to enterprise-wide AI automation

Axel Schell Axel Schell +2 Β· WWC Europe 2026

2:43 min

Setting effective guardrails for enterprise agentic AI adoption

Julia Kordick Julia Kordick Β· Coffee With Developers

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale

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PayPal, Manager, Software Engineer

Him Raj Singh
Open session

World Congress 2026 North America

Securing AI Agent Infrastructure: Identity, Attestation, and Trust at Scale

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Founder of OpenA2A

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Open session

World Congress 2026 North America

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
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

When Agents Became Users: Rearchitecting Identity and Permissions for AI at Scale

Yoav Gal, Dor Cohen

Yoav Gal
Dor Cohen
Open session

World Congress 2026 North America

Reinventing Testing Practices in the AI Era

Eric Deandrea

Java Champion & Senior Principal Software Engineer, IBM

Eric Deandrea

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