How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework.

Greptile⁠(opens in a new window) builds AI agents that review and test code changes with full context of the codebase. “We are in the business of reducing bugs and making the world’s software more reliable,” says Co-founder and CEO Daksh Gupta.

For Daksh, that mission requires testing an application’s behavior as well as reading its code, and GPT‑6 Astra’s computer use gives Greptile a way to automate testing at scale.

Validating a pull request involves checking whether the code is logically correct, does what the developer intended, is secure, and avoids breaking existing functionality. For some of that testing, you need to actually run the application because reading the code alone might not reveal the problem.

Daksh gives the example of a button that disappears when a website is viewed on an iPhone. With GPT‑6 Astra, Greptile can start a development server for a pull request, resize the browser to an iPhone-sized viewport, and simulate a user moving through the application. The model’s visual understanding lets it inspect the screen and spot the hidden button.

“A QA firm testing all of your changes is just impractically slow considering how fast we’re able to ship code with these models,” he says. With GPT‑6 Astra, Greptile can automate this kind of application testing at scale.

Daksh says more powerful models also make it easier for attackers to exploit applications, putting companies at risk, even those that previously would not have been typical targets.

Source link