I work for a $50B+ company (is this big tech? idk), but I’ll answer this because we are fully embracing AI (Cursor, Claude Code, cloud agents, AI reviews, you name it)

> Have you noticed faster pace of development?

Yes, our org has had a 50% increase in PRs since Opus 4.5 released.

> Have you seen changes to code quality or code review?

Yes, significantly more bugs (no exact number), but consider it maybe 3-4x in volume. However, nothing catastrophic and everyone just uses AI for fast-follow fixes anyways. The company as a whole is embracing this style of development for better or worse.

> Do teammates that use these tools complete sprint tasks faster than those who don't?

Yes, but my entire team uses them. I’d say the ones who use it more effectively (crazy skill setups, better tooling/commands, better scaffolding) finish much faster. Probably 80% of my team still uses Cursor in the one-shot way with very vague requirements, and don’t have the AI connected to github, jira, slack, etc which can actually feed really important context into decision making.

If I do something more than once a day, I write a custom slash command for it. This has personally 2x’d my pace.

I work for a $20 billion tech company (not a big tech company, but not a small one either). Our company strongly encourages us to incorporate agentic tools like Claude Code and Codex into our daily routines. Management has made it easy to use Anthropic and OpenAI products with an enterprise subscription. I can sense that our business leaders want us to move more swiftly and be more productive to avoid falling behind in the AI race.

My team has adopted Claude Code extensively, and the number of daily and weekly PRs we have closed has increased significantly. I’ve noticed that we’re also more willing to commit to more projects. My team benefits from most of our code being written in TypeScript. However, some other teams with legacy code bases seem to have a bit of a harder time using these tools compared to us.

One thing that surprises me with a AI is you can have people working on the same code base. Some can be very effective with AI, yet there are others working on the exact same code base who cannot get good results. Some people don’t really seem to be taking the time to get good at writing prompts and plans before having agents execute on them.

I work at a large social media company - it has become a popularity contest on who can ship more AI slop the fastest. Real productivity gains are questionable tbh. Slop is replacing more slop.

The biggest shift isn't the speed of coding, but the shift in 'seniority' expectations. You're no longer just a writer of code; you're an editor of high-volume output. The mental fatigue has shifted from 'how do I solve this' to 'is this generated solution actually robust for our scale'. Big tech feels more like orchestrating a fleet of junior agents than solo deep-work now.