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Coffee With Developers • Jul 29, 2026

Moving from Playing with AI to Implementing AI - Lee Stott

Lee Stott

Lee Stott warns that manual coding is dead, urging engineers to become multi-agent AI orchestrators. Master specification-led development, robust token governance, and localized model deployment.

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#1 about 3 min

Moving from playing with artificial intelligence to business implementation

Developers are shifting from basic assisted coding toward orchestrating complex multi-agent setups.

#2 about 3 min

Evolving developer roles from individual contributors to agent managers

Human oversight remains essential as developers transition to evaluating automated code against architectural and compliance standards.

#3 about 3 min

Accelerating junior developers through organizational governance and fine-tuned models

Providing proper guardrails and specialized models allows new graduates to effectively evaluate code against internal company standards.

#4 about 2 min

Governing token usage and business objectives in software development

Aligning language model usage with key performance indicators ensures teams build features that deliver actual business value.

#5 about 4 min

Adopting documentation-led specification for optimal agent code generation

Investing in detailed markdown documentation and golden pathways prevents agents from generating unnecessary and costly code.

#6 about 3 min

Managing model fatigue through evaluation frameworks and model routers

Benchmarking systems dynamically select appropriate endpoints based on task complexity to optimize latency and operational costs.

#7 about 3 min

Interacting with code agents through command line and applications

Specialized command interfaces provide distraction-free environments for executing and evaluating specification-driven development tasks.

#8 about 3 min

Integrating localized artificial intelligence models within application packages

Hardware-optimized local models increase security and portability while avoiding massive file downloads for the end user.

Matching moments

5:30 min

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Shifting developer workloads and realistic AI productivity gains

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Mateusz Gren Mateusz Gren +1 · World Congress 2026 Europe

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Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · World Congress 2026 Europe

1:13 min

Adapting the software engineering role for AI collaboration

Przemysław Ładyński Przemysław Ładyński · World Congress 2026 Europe

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Evolving developer roles into tech leads for AI agents

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September 23, 2026 · 13:40–14:10

Stage 2

Building an AI-Native Development Workflow

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September 24, 2026 · 11:40–12:10

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September 24, 2026 · 16:50–17:20

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Building AI Products vs. Building With AI

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Open session

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September 23, 2026 · 10:00–17:00

Stage 11

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Stage 6

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