Claude Code creator details workflow: Chrome extension tests each UI change
The developer behind Claude Code has just pulled back the curtain on how he turns a raw code push into a polished, user‑ready feature. In a recent post, Cherny walked through the steps he takes after each commit lands on claude.ai/code, describing a loop that moves beyond static linting or unit tests. Instead of relying solely on conventional checks, his process hooks a Chrome extension into the workflow, spawning a real browser session that interacts with the interface as a human would.
By automating the visual and functional validation, the system can catch regressions that typical test suites miss. This approach, Cherny argues, gives the AI a concrete way to confirm its own output—whether through browser automation or other feedback mechanisms. The result is a continuous cycle of testing and refinement that aims to keep both the code and the user experience in sync.
"Claude tests every single change I land to claude.ai/code using the Claude Chrome extension," Cherny wrote. "It opens a browser, tests the UI, and iterates until the code works and the UX feels good."
"Claude tests every single change I land to claude.ai/code using the Claude Chrome extension," Cherny wrote. "It opens a browser, tests the UI, and iterates until the code works and the UX feels good." He argues that giving the AI a way to verify its own work -- whether through browser automation, running bash commands, or executing test suites -- improves the quality of the final result by "2-3x." The agent doesn't just write code; it proves the code works. What Cherny's workflow signals about the future of software engineering The reaction to Cherny's thread suggests a pivotal shift in how developers think about their craft.
Is this enough to change how developers work? The thread from Boris Cherny has sparked intense discussion across engineering circles. By wiring Claude Code to a Chrome extension that opens a browser, runs the UI, and loops until the interface feels right, the system automates a step that traditionally required manual verification.
It tests every change landed to claude.ai/code, then iterates until the code works and the UX feels good, according to Cherny’s own words. Yet the broader implications remain unclear. While some insiders label the approach a watershed moment for Anthropic’s startup, others question whether the added automation will scale across diverse codebases or simply shift the burden to the model itself.
The workflow demonstrates a concrete method for giving an AI a self‑checking loop, but it doesn’t yet prove that such loops can replace human judgment in complex projects. As the community continues to dissect the details, the real test will be whether the practice delivers consistent, measurable improvements in development speed and quality.
Further Reading
- Use Claude Code with Chrome (beta) - Claude Code Docs - Claude Code Docs
- Claude Code Workflow Guide - HackMD
- Claude Code Chrome Extension: How It Works and How to Get Started - Kahunam
- 48+ Expert Tips & Tricks Claude Code CLI --chrome - MLearning.ai
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Common Questions Answered
How does the Chrome extension integrate with Claude Code's workflow after a commit lands on claude.ai/code?
When a code push reaches claude.ai/code, the Claude Chrome extension automatically launches a real browser session. It navigates to the updated UI, runs interaction tests as a human would, and loops until the changes render correctly and the user experience feels satisfactory.
What quality improvement does Boris Cherny claim results from having Claude verify its own work through browser automation and test suites?
Cherny states that giving the AI the ability to prove its code works—by running browser automation, bash commands, or full test suites—boosts the overall quality of the output by roughly two to three times. This self‑verification reduces the need for manual debugging and leads to more reliable features.
In what way does Claude Code's testing loop differ from traditional static linting or unit tests?
Unlike static linting or isolated unit tests, Claude Code's loop spawns an actual Chrome browser and interacts with the live interface. This approach validates not only code correctness but also visual and experiential aspects of the UI, providing a more holistic verification than conventional checks.
What has been the reaction within engineering circles to Cherny's thread about automating UI verification with Claude Code?
The thread has sparked intense discussion among developers, with many questioning whether this automated UI verification could reshape standard development practices. While some see it as a promising step toward reducing manual QA, others debate its scalability and potential impact on developer workflows.