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Coffee With Developers • May 13, 2026

Agents and AI in Enterprise - Dona Sarkar & Patrick Chanezon

Dona Sarkar , Patrick Chanezon

Dona Sarkar and Patrick Chanezon reveal that engineers are officially evolving into agent bosses. Discover why the CLI is back and how enterprise AI kills billable hours.

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#1 about 3 min

Microsoft developer relations and the origins of AgentCon

Hosting specialized conferences helps scale technical knowledge about autonomous agents to global developer communities.

#2 about 2 min

Transitioning developers from individual contributors to agent bosses

Treating artificial intelligence systems as team members fundamentally changes the traditional engineering workflow.

#3 about 2 min

Automating developer workflows using command line interface agents

Integrating command line interfaces allows developer relations teams to automate administrative community programs.

#4 about 4 min

Preserving authentic human voice in developer conference submissions

Writing conference proposals without automation preserves speaker personalities and builds genuine professional relationships.

#5 about 4 min

Managing security and sandboxing for command line agents

Granting models complete system access creates security challenges that require proper sandbox environments.

#6 about 5 min

Navigating model guardrails and token usage in enterprise

Providing structured corporate environments allows engineers to leverage foundational models without manually managing tokens.

#7 about 3 min

Shifting focus from token maxing to AI cost management

Measuring computational efficiency and software carbon intensity optimizes the return on hardware investments.

#8 about 2 min

Returning to client-server architectures with local open source models

Running smaller open-source models directly on endpoints improves application privacy and reduces networking dependencies.

#9 about 5 min

Redesigning junior developer training in the artificial intelligence era

Pairing novices with senior staff to review automated pull requests accelerates engineering onboarding.

#10 about 5 min

Solving impossible enterprise problems instead of retrofitting applications

Focusing on previously unsolvable industry challenges prevents organizations from unnecessarily breaking functional legacy systems.

#11 about 3 min

Measuring artificial intelligence success through improved business outcomes

Transitioning corporate metrics from raw execution counts to actual productivity value accurately tracks technology investments.

#12 about 4 min

Validating product assumptions through traditional user testing methods

Observing real users interact with software prevents product teams from fabricating new problems.

Matching moments

1:56 min

Scaling AI adoption to non-traditional enterprise developers

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

2:52 min

Designing agentic AI solutions for the enterprise

Damir Dobric · Coffee With Developers

7:07 min

Exploring AI agent usage within the software engineering industry

Chris Heilmann Chris Heilmann +2 · LIVE

2:46 min

Deploying AI agents for enterprise legacy code modernization

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner Clemens Wasner +4 · World Congress 2026 Europe

5:20 min

Shifting from AI hype to enterprise operations

Deivids Vilkinsons Deivids Vilkinsons +3 · World Congress 2026 Europe

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