Software development entering the "black box" era? Former GitHub boss: In the future, no one will review code written by AI.

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As AI programming capabilities evolve exponentially, the software development industry is standing at a critical point of total transformation: human programmers may no longer review computer code directly, but instead completely delegate this laborious task to AI.

Former GitHub CEO Thomas Dohmke is betting on this future. His new company, Entire, is dedicated to providing infrastructure for this new era of "humans don't need to look at code," and announced on Tuesday that it has raised $60 million in seed funding, putting its valuation at $300 million.

This vision is not unfounded—the industry’s pioneers are already experimenting with it. Peter Steinberger, the creator of OpenClaw, recently stated that he no longer even reviews most of the AI-generated code used to build the AI agent. This trend is prompting a fundamental shift in development models, from individual developers to large enterprises, and spurring urgent demand for new regulatory and monitoring tools.

Against this backdrop, Thomas Dohmke founded Entire to rethink the software development lifecycle. The company’s core value proposition is that even if humans no longer review code line by line, businesses still need tools to understand the behavioral paths of AI programming agents. This funding round was led by Felicis; notably, Microsoft, Dohmke’s former employer and the owner of GitHub, also participated in the investment, indicating that tech giants recognize this direction of transformation.

However, this hands-off model poses serious compliance challenges for companies. Dohmke warns that, although developing applications without looking at the code has become a technical option, in terms of security and compliance, no company can afford the risk of releasing "unreviewed code," as it may lead to severe legal liabilities. Entire is trying to build a bridge between the efficiency of AI autonomous programming and the transparency that companies require.

Decoding the "Black Box": Monitoring Without Reading Code

Entire’s product logic aims to address the "black box" anxiety brought by AI programming. Dohmke points out that while individual developers like Steinberger can hand off heavy coding work to AI without reviewing it, large enterprises cannot afford such a completely hands-off strategy. Entire’s goal is to develop a set of tools that allow people to understand the activities of AI programming agents without having to dive into the code itself.

As the first step in this strategy, Entire released its first product on Tuesday—an open-source tool called Checkpoints. This tool can connect to developers’ command-line interfaces (the windows where developers issue coding instructions to AI agents), recording real-time operation logs of the AI agents. This includes not only the specific actions taken by the AI but also its step-by-step “thought process.”

This mechanism allows humans to use Checkpoints to gather information on the performance of AI-generated applications or to make fixes when potential issues arise. Currently, Entire supports Anthropic’s Claude Code and Google’s Gemini CLI (an interface for developers to issue coding instructions to the Gemini model), with plans to add support for other programming agents in the future. Unlike companies like Anthropic, which focus on supporting their own proprietary agents, Checkpoints is designed to monitor multiple AI agents from different vendors that developers may use.

AgentOps Track Heats Up: Giants and Startups Compete

The launch of Entire highlights growing competition in the emerging "AgentOps" field (AgentOps—a full lifecycle management framework designed for autonomous AI agents). This category includes startups and cloud services that observe or monitor AI agent behavior. Recently, several software vendors have released similar products to help companies track the behavior of autonomous AI systems in their apps more easily.

The market landscape is rapidly taking shape. Industry giants, including Microsoft and OpenAI, are actively promoting new agent monitoring products, aiming for a share of this fast-growing market. Entire has chosen a business path proven in open-source software: releasing open-source tools first, and planning to add a cloud-hosted subscription service in the coming months.

From Microsoft Executive to Entrepreneur: Betting on Developer Tool Transformation

Dohmke’s entrepreneurial inspiration comes from keen insights into industry trends. As he told the media, he came up with the idea for Entire last summer after witnessing the strong momentum of GitHub’s AI coding tools. After discussing the idea with Satya Nadella, CEO of Microsoft, and other executives, Dohmke decided to fully dedicate himself to product development and left Microsoft in August to start the new company.

"The world of software development and developer tools is about to change dramatically," Dohmke said. "This is such an exciting opportunity—I just can’t miss it." His statement not only explains his motivation for becoming an entrepreneur, but also signals an imminent paradigm shift in the software engineering world.

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