In a recent LinkedIn post, Andrew Bolis explores the evolving landscape of AI in application development, focusing on the persistent challenge of bug fixing and introducing a new autonomous AI solution. Bolis highlights that while AI has democratized app building by generating code, the critical and time-consuming phase of testing and debugging still largely relies on human engineers.
The Bottleneck in AI-Assisted Development
Andrew Bolis points out a fundamental limitation in many current AI development tools. “Most AI dev tools have the same limitation: they generate code; you run it and something breaks; you spend hours debugging and fixing,” he writes. The core issue, according to Bolis, is that AI can generate code but cannot intrinsically understand the runtime behavior of an application. “AI can’t see what actually happens when your app runs. It doesn’t know what breaks, where it breaks, or why.” This gap means that developers are still burdened with significant manual oversight and troubleshooting, negating some of the efficiency gains promised by AI code generation.
Introducing Anything Max: An Autonomous AI Software Engineer
To address this challenge, Bolis introduces Anything Max, an autonomous AI engineer designed to test and fix applications. He describes its function as mimicking human user interaction: “What if AI could test your app like a user and click buttons, fill forms, break things, then fix them.” This approach allows the AI to discover and resolve bugs with a deeper understanding of the application’s actual performance. Bolis emphasizes the benefits for developers:
- Developers are freed from constant oversight of the building process.
- Manual checking of application flows becomes unnecessary.
- The need for writing additional prompts specifically for bug fixes is eliminated.
“Just give Max a goal, and it runs autonomously for 30 minutes to 4 hours,” Bolis explains, underscoring the hands-off nature of the tool. He further illustrates its parallel processing capabilities, suggesting that multiple Max agents can work simultaneously on different parts of an application, such as debugging checkout processes, adding onboarding features, or fixing invitation flows. “It’s like having a full-stack dev team working in parallel,” he notes.
Capabilities and Underlying Infrastructure
Andrew Bolis details several key capabilities of Anything Max. The AI operates within a real browser, enabling end-to-end testing and feature implementation without continuous human prompting. It can simultaneously address issues in various application components, including onboarding, checkout, and dashboards. Notably, Anything Max can identify problems that only emerge during actual user interaction and boasts a high accuracy rate for fixing complex bugs.
Bolis attributes this advanced functionality to the fact that the company, Anything, owns the entire infrastructure stack, from frontend and backend to database, hosting, and runtime. This integrated control allows Anything Max to operate with real-world context, “It sees what users see and fixes issues with real context.” Ultimately, Bolis posits that this technology bridges the gap between creating a functional prototype and launching a reliable, production-ready application.
He concludes by encouraging readers to try Anything Max and share the post to help others leverage AI for faster development of working applications.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on December 8, 2025 | View original post on LinkedIn →