Ex-GitHub CEO’s startup lands $60M
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Ex-GitHub CEO’s startup lands $60M
Study: AI leads people to work more, not less
Ex-GitHub CEO’s startup lands $60M
Former GitHub CEO Thomas Dohmke just raised a $60M seed round for Entire, an open-source platform built to monitor and manage AI-generated code. Translation: the bots are writing the software, and someone needs to watch the bots.
Dohmke left Microsoft-owned GitHub last August after four years, saying the tools he built weren’t designed for a world where agents write the code.
Entire’s first product, Checkpoints, logs AI agent actions, including prompts and decision paths, so developers can audit what actually happened.
It works with Claude Code and Gemini CLI today, with OpenAI Codex and GitHub integrations on the way.
The $60M seed is reportedly the largest ever for a dev tools startup, valuing the company at $300M out of the gate.
Dohmke previously led the platform where most of the world’s code lives. Now he’s building infrastructure for a future where AI writes more code than humans review. If agents are generating production systems at scale, trust and traceability become critical. The tooling layer that audits and governs AI output may end up being just as valuable as the models doing the writing.
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Study: AI leads people to work more, not less
An eight-month Harvard study of roughly 200 employees at a US-based tech company found that AI tools didn’t lighten workloads. They intensified them.
Workers with access to enterprise AI subscriptions completed tasks faster, which sounds great until you realize what happened next. Because they could move quicker, they took on more. Scope expanded. Hours stretched. Output increased. Rest did not.
Importantly, no one was forced to use the tools. Employees adopted them voluntarily. At first, the excitement around shiny new productivity gains felt empowering. Over time, though, the extra work accumulated quietly.
Researchers identified three main drivers of this workload creep:
Expanded capability: AI made previously specialized tasks feel accessible. Non-technical employees began tackling coding and engineering work that once sat outside their roles.
Lower friction: When it’s easier to start and finish tasks, the line between work and personal time gets blurry.
Background multitasking: AI acted like a “partner” handling parallel tasks, which encouraged people to stack more responsibilities at once.
The result was not less work, but more layered work.
This study joins a growing pile of contradictory research about AI’s impact. Some argue it will eliminate entire categories of jobs. Others claim it will create new ones. This research lands somewhere in the middle. AI doesn’t necessarily replace you. It expands what your job includes.
Because the study focused on a US company, part of this effect may reflect American work culture, where productivity gains often translate into higher expectations rather than lighter loads. Still, the pattern is revealing. When tools make it possible to do more, people often feel obligated to do more.
AI may reduce friction. It does not automatically reduce pressure.
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