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World Congress 2026 Europe • Jul 10, 2026 • Session details

AI Agents Face-Off: Same App, Multiple Frameworks

Elaine Dias Batista

Which mobile framework wins when AI writes all the code? Discover how this multi-agent showdown proves that generating functional apps requires deeply restrictive, deterministic development environments.

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#1 about 4 min

Escaping human bias when comparing mobile frameworks

Delegating identical mobile app builds to artificial agents avoids personal framework biases and yields measurable comparison data.

#2 about 5 min

Iterating from manual to automated code generation workflows

Evolving developer instructions and evaluation workflows from manual trials and basic text guidelines to formalized context files.

#3 about 3 min

Eliminating code evaluation bias and tracking execution costs

Evaluating earlier experiments reveals the anti-pattern of model self-grading and shifts measurement from token usage to distinct financial costs.

#4 about 4 min

Designing an automated system harness for continuous testing

Creating a multi-loop feedback architecture with external modules enables structured planning and fully automated interface testing validation.

#5 about 2 min

Judging code quality with anonymous language model tournaments

Establishing a ranking system where external models perform blind evaluations guarantees completely objective output code quality measurements.

#6 about 4 min

Troubleshooting rogue agent behavior and mobile automation challenges

Overcoming unexpected complications where autonomous software changed accessibility features, triggered lock screens, and spawned unauthorized emulators.

#7 about 3 min

Analyzing benchmark results for coding agents and frameworks

Performance metrics demonstrate how specific model variants create higher quality applications with fewer errors and overall lower generation costs.

#8 about 2 min

Balancing deterministic framework architecture and probabilistic code generation

Implementing strict standard boilerplate within target frameworks simplifies functionality expectations compared to probabilistic raw project creation.

#9 about 3 min

Core engineering principles for an automated testing harness

Managing dynamic generation output requires strictly deterministic structures, environment version pinning, and disciplined context prompt budgeting.

#10 about 3 min

Assembling the complete execution toolchain for local agents

Executing identical software construction tests demands extensive orchestration scripts, target dependencies, specialized profilers, and platform build utilities.

Matching moments

3:06 min

The role of artificial intelligence in mobile development

Sasha Denisov Sasha Denisov

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner Clemens Wasner +4 · WWC Europe 2026

2:06 min

Rethinking team structures around AI agent capabilities

Mike Mike · WWC 2025

1:53 min

Validating autonomous code generation with robust automated testing

Ahmed Tikiwa Ahmed Tikiwa · WWC Europe 2026

2:28 min

Introduction to building reliable AI agents in production

Max Tkacz Max Tkacz · WWC 2025

5:27 min

Evaluating AI agents through unpredictable behavior and logic tests

Chris Heilmann +2 · LIVE

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