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Perfomance & AI Day • Nov 27, 2025

AI is an Electric Bike for the Brain - Stoyan Stefanov

Stoyan Stefanov argues AI is an electric bike for developers, flawlessly accelerating prototyping and research. Find out why this performance expert outright refuses to ship AI-generated code to production.

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#1 about 6 min

Analyzing performance in automatically generated code

Evaluating the rendering and layout calculations of a font inspector created with an AI code generation tool.

#2 about 5 min

Navigating the stages of AI grief and adoption

How developers transition from initial denial and panic to embracing artificial intelligence for enhanced productivity.

#3 about 4 min

Integrating AI into web performance engineering workflows

Utilizing language models to rapidly create isolated test pages and generate research ideas without modifying production application behavior.

#4 about 3 min

Building greenfield projects with AI code generation

Accelerating exploratory development and feature implementation in a vanilla JavaScript music notation application.

#5 about 6 min

Exploring browser integration with the model context protocol

Allowing language models to directly analyze layout shifts and performance regressions within the development environment using standard testing protocols.

#6 about 5 min

Overcoming AI hallucinations and restrictive content guardrails

Why general language models temporarily struggle with accurate performance audits and how strict constraints motivate building custom infrastructure.

#7 about 6 min

Sourcing training data for predicting web page speeds

Extracting relevant performance metrics and tabular properties from the HTTP Archive dataset to evaluate real user experiences.

#8 about 6 min

Training a gradient boosting regression model in Python

Creating a decision tree that predicts targeted performance metrics by iteratively analyzing tabular feature splits.

#9 about 6 min

Evaluating page performance using customized ML prediction models

Applying a bespoke prediction model and game theory simulations to determine which code features impact page rendering times the most.

#10 about 3 min

Assessing the future of AI in web performance optimization

Why domain expertise remains essential for evaluating automated performance suggestions and manually curating machine learning training data.

Matching moments

5:16 min

Motivations for adopting AI to enhance developer productivity

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann Chris Heilmann +2 · LIVE

2:46 min

Generating real-time website performance traces with AI

Suchitra Swain Suchitra Swain · World Congress 2026 Europe

4:28 min

Exploring artificial intelligence as a solution for web accessibility

Chris Heilmann Chris Heilmann +2 · LIVE

4:40 min

Using AI to rapidly prototype intuitive application features

Artur Ortega · A11y + AI

1:30 min

Accelerating coding workflows with AI code generation tools

Meta Atamel +1 · Coffee With Developers

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