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AI Coding Agents

31 summarised stories about AI Coding Agents, each linking back to the original source. Browse all topics →

Friday, 3 July 2026

How Expensify Uses Agent-Device for Mobile Bug Evidence and Profiling

TLDR Dev 2 weeks ago

Expensify built agent-device, a tool that gives AI coding agents the ability to see and interact with mobile apps through structured accessibility trees and platform-agnostic commands, rather than just screenshots and coordinates. The company created agent-device-evidence to automatically reproduce bugs and collect before/after video evidence across platforms by parsing issue descriptions and replaying saved scripts, reducing what took five minutes per platform to automation. This frees developers from manual testing loops, allowing agents to handle mobile workflows like bug reproduction, performance measurement, and React profiling while engineers focus on building product features.

The Short Leash AI Coding Method For Beating Fable

TLDR Dev 2 weeks ago 6 sources

A software developer describes a "short leash" method for using AI coding agents to produce high-quality software in security-critical systems, where developers maintain constant control and review of AI-proposed changes rather than letting agents work autonomously. The approach requires keeping the AI in a tight feedback loop, reviewing every diff before approval, making commits after each subtask, and having humans review their own AI-assisted pull requests line-by-line. This contrasts with popular "vibe engineering" approaches where developers minimize involvement, and the author argues it produces better results even with non-frontier models because developers stay informed about their codebase and catch quality issues early.

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