AI changes the speed equation entirely

"It" refers to the percentage of pull requests created by Devin (an AI software engineer) versus human engineers at Cognition Labs.

Honestly, we expect it to be a decent bit more than half by the end of the year.

Fin is Intercom's AI customer service agent that became their fastest-growing product after pivoting from traditional chat-based customer support.

We were only six weeks into the launch of GPT 3.5 when we actually had a beta version of Fin.

Cursor and Windsurf are AI-powered code editors built from the ground up with AI integration, representing "AI native" companies.

How would an AI native company, like a cursor or windsurf, et cetera, how would they execute? And are we executing as fast as them and taking advantage of all the new stuff as well as them?

Sora is OpenAI's AI video generation model that was released to the public in late 2024.

One of the most mind-blowing examples of acceleration, the Sora Android app, like a fully new app, we built it in 18 days and then 10 days later, so 28 days total, we went to the public.

Inbal Shani is discussing how AI coding tools can free up developers' time by reducing the portion of their workday spent actually writing code.

Most developers span less than 25, some say less than 20% of their time writing in code. So if we're able to give them half an hour back, one, they can write more code. Second, they can have a break and take a breath so we don't burn them out and they're more happy. Third, we give them more time for collaboration and creative thinking, so that sparks innovation.

What I'm seeing is that the time to first demo is much shorter, but the time to a full deployment is going to take longer. So I think that there's going to be an uneven cadence.

To replace any critical workflow or to build something that can give you significant ROI, it easily takes four to six months of work, even if you have the best data layer and infrastructure layer.