🕶️ $25B for a bot that builds itself

Rent is now paid in reserved silicon.

The money is chasing infrastructure that compounds, agents that ship, and unit economics that still survive contact with reality.

Docs piling up faster than you can write them? Same.

Every team knows the feeling — product ships, docs don't. Changelogs get forgotten. Style violations quietly accumulate. Broken links go unnoticed for months.

Mintlify's new Workflows feature fixes this. Define automation rules, and the agent handles the recurring maintenance work for you — on your schedule, by your rules.

Draft docs when a PR merges. Generate changelogs every Friday. Run a style audit on every push. Flag translation lag before it becomes a problem. Each workflow is version controlled, fully configurable, and fits into your existing review process.

You decide when it runs, what it checks, and whether changes get committed directly or opened as a pull request for review.

The result: documentation that actually keeps up with your product, without someone manually chasing it down.

Try Workflows

Devin is no longer a curiosity; it's a category bet.

The company says it's hit a $492M run-rate, with enterprise usage up 50% month over month for six straight months. Customers include Mercedes-Benz, NASA, Goldman Sachs, and Santander. The round was led by Lux Capital and General Catalyst, with participation from Founders Fund, 8VC, Ribbit Capital, Atreides, and Layer Global.

The bigger signal is the valuation jump. Cognition went from $10.2B post-money in September 2025 to $25B pre-money now. That's not just momentum; that's investors pricing in autonomous coding agents as a real layer in the stack.

The less obvious ripple: outsourced dev shops and nearshore firms may start seeing deal flow shift as buyers test agents for maintenance, QA, and integration work.

If you build devtools, security, or platform infra, this is the part to pay attention to:

For vertical SaaS founders, the bar is moving too. Customers will want automation-first roadmaps and proof of lift in cycle time, shipped tickets, latency, and compliance.

Cognition isn't just raising money. It's a pretty loud signal about where enterprise software is heading.

Snowflake just dropped a massive $6B commitment on AWS over the next five years, mostly for Amazon's ARM-based Graviton CPUs.

To put that in perspective, that's almost as much as Snowflake has ever sold through the AWS Marketplace since 2012, squeezed into one contract window. In the AI era, rent is paid in reserved silicon.

What they're really betting on here is AI agents and daily inference. GPUs are still king for training and heavy reasoning, but for day-to-day execution, CPU usage is going to explode. Graviton’s performance is "good enough," and the economics are way better. This gives Amazon the margin to cut prices while keeping these massive workloads deeply locked into their ecosystem.

For founders, this is a clear look at the post-NVIDIA landscape. The big cloud providers are leveraging their in-house chips to win multi-billion-dollar workloads and guarantee demand. Deals like this—and others that secure long-term capacity—give you better AI unit economics today, but the trade-off is a much deeper dependency on a single cloud's hardware roadmap tomorrow.