Coffee With Developers Mar 9, 2026

Building and Modernising Apps with Agentic AI - Julia Kordick

Julia Kordick

Julia Kordick warns that if agentic AI can replace you, your skills need work. Stop using zero-context prompts. Master spec-driven development to build your developer exoskeleton.

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#1 about 1 min

Gathering developer productivity feedback in large organizations

Analyzing customer interactions with enterprise technologies highlights areas for improving software engineering efficiency.

#2 about 2 min

Addressing prompting challenges with spec-driven development projects

Using open tools to simplify agentic coding allows teams to guide code generation with clear specifications.

#3 about 3 min

Transitioning engineering roles toward writing specifications for AI

The evolution of software roles requires developers to quickly learn how to structure work for automation and human-in-the-loop systems.

#4 about 3 min

Setting effective guardrails for enterprise agentic AI adoption

Establishing clear guidelines prevents organizations from blindly trusting AI models with unrestricted system access.

#5 about 3 min

Aligning agentic coding practices with software development lifecycles

Integrating structured processes rather than unmanaged approaches ensures safer and more reliable system code generation.

#6 about 3 min

Navigating friction in spec-driven development and prompt engineering

Balancing dense markdown requirements with concise context helps avoid overwhelming developers and reduces cognitive load during code reviews.

#7 about 3 min

Structuring effective specification formats for AI code agents

Providing short, bulleted lists with explicit uppercase instructions enables autonomous tools to parse technical requirements better.

#8 about 2 min

Iterating on generated code instead of constant regeneration

Revising snippets iteratively saves processing power while preventing the loss of structurally sound early code versions.

#9 about 4 min

Building internal prompt libraries to optimize context engineering

Sharing effective organizational prompts directly reduces token consumption and eliminates generic developer commands.

#10 about 4 min

Maintaining fundamental software engineering skills in an AI era

Relying entirely on generation risks deteriorating an engineer's ability to debug complex integrations or grasp fundamental architectural logic.

#11 about 3 min

Managing oversized pull requests generated by autonomous tools

Breaking large tasks into smaller, manageable milestones prevents unreviewable repo dumps and maintains project stability.

#12 about 3 min

Utilizing open source repositories to test specific agentic workflows

Exploring public specification projects allows teams to test various integrations safely before a full organizational deployment.

#13 about 4 min

Balancing bleeding-edge technology trends with actual customer needs

Recognizing the disparity between social media hype and real-world implementation maturity enables more practical problem-solving for enterprise clients.

#14 about 5 min

Connecting diverse technical communities at developer industry events

Fostering an environment that bridges global vendors with local engineering teams accelerates knowledge sharing and functional networking.

#15 about 3 min

Experimenting with agentic coding as an engineering exoskeleton

Adopting generation tools as supplementary aids rather than full replacements enhances current capabilities through self-driven experimentation.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

5:16 min

Motivations for adopting AI to enhance developer productivity

59 sec

The limitations of spec-driven development with AI

Peter Caron Peter Caron · WWC Europe 2026

1:54 min

Shifting towards specification-driven AI development frameworks

Marcin Wawryszczuk Marcin Wawryszczuk · WWC Europe 2026

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner Clemens Wasner +4 · WWC Europe 2026

3:45 min

Balancing AI tool mandates with developer trust and productivity

Chris Heilmann +2 · LIVE

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