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Coffee With Developers • 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 · World Congress 2025

1:50 min

Challenges with language models in enterprise production environments

Ashish Sharma · LIVE

3:13 min

Why scaling AI is harder than traditional software

Deivids Vilkinsons Deivids Vilkinsons +3 · World Congress 2026 Europe

2:02 min

Addressing common enterprise AI misconceptions

Deivids Vilkinsons Deivids Vilkinsons +3 · World Congress 2026 Europe

6:30 min

Challenges of transitioning to enterprise-wide AI automation

Axel Schell Axel Schell +2 · World Congress 2026 Europe

2:43 min

Setting effective guardrails for enterprise agentic AI adoption

Julia Kordick Julia Kordick · Coffee With Developers

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Beware of Strangers Bearing Code: Open Source Trust in the Agent Era

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AI Is the Easy Part: Why Faster Engineers Don't Make Faster Businesses

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