AI Agents and the Transformation of Software Development §

Aaron Levie (@levie) §

It’s clear that almost everything about software development has fundamentally changed for good with AI agents.

Hard to imagine another area of knowledge work that has had its underlying process get transformed so substantially in such a short period of time.

If you went back even 2 years and told the average developer what software engineering would look like right now, it would not be comprehensible. We’ve already seen 3-4 major step functions changing workflows just in that time period alone.

The ultimate outcome is clearly that software engineering will become heavily dependent on how good you are at prompting, how good you are at reviewing code, and the interplay between the two. Once the workflow becomes about kicking off agents to do work in the background, your success is dependent on the work that gets kicked off and how you review it.

Importantly, both require a deep understanding of how to code, systems, and what you want to build; the greater the underlying skill of the engineer, the greater the leverage with AI agents.

And while we’re seeing this workflow get defined first in software, a similar pattern will eventually emerge across all areas of knowledge work. We’re only in the earliest stages of seeing what this will look like. Crazy times.

Quoted Tweet §

Gergely Orosz (@GergelyOrosz) · Sep 23, 2025 Until now, programming was a \“single-threaded\” activity. As a dev, I’d get \“in the zone\” and get it done. AI agents change this: you can now kick off parallel coding tasks. I see more devs do this… and this feels like brand new territory. We’ll need to learn. A lot!

Replies to Aaron Levie’s Tweet §

Oscar Le (@oscarle_x) · Sep 24, 2025 §

While agreeing with your point, actually devs run multiple projects in parallel is because they have to wait for CC/Codex to run. And what else thay gonna do except running another job. If CC run at 5000 tps instead of 50tps, devs gonna back to single-thread in no time.

Jason ✨👾SaaStr.Ai✨ Lemkin (@jasonlk) · Sep 24, 2025 §

One small addition / learning: I think I’m probably in top 0.1% of Replit now, and have 6 apps in production:

• new SaaStr.ai (30,000 users a month)
• start-up valuation calculator (300,000+ uses)
• new VC pitch analyzer (1,000+ VC pitches reviewed in 2 weeks)

Donny Solana (@DonnySolana) · Sep 24, 2025 §

yep Showcasing progress in Software Engineer via agents is one of the easiest to see because people can interpret the code and instantly associate it with the value it delivers. That being said, applying this to other areas that don’t require an in-depth fundamental §

My Notes/Thoughts: I find it especially interesting to see how other fields will evolve and if they will adapt or adopt workflows or principles currently used in software engineering.