Your agent changed a shared helper. The edit looks tidy. Which other parts of the project need a closer look?
I m Kevin, the maker of Brain Scanner. Here is a concrete review exercise you can use with your next agent-assisted change:
1. Pick one changed helper or module. Write down the behavior you expect to remain the same.
2. Inspect its recorded relationships in the project graph. Use those connections to identify files and symbols worth reviewing, then check the current source for callers and indirect uses.
Three weeks ago I handed in my notice at a six-figure job. No co-founder, no funding, no safety net beyond 4 months of savings. I did it to build one small SaaS product.
Since then I've had the same thought roughly every second day at 2am: this is the dumbest possible moment in history to do this.
Here's the fear, stated plainly, because I'd rather hear it argued with than keep circling it alone:
1. Every SaaS is now one feature announcement away from irrelevance. I don't mean "a competitor might launch." I mean an AI lab ships a model update, a checkbox appears in a product 400 million people already pay for, and my entire reason to exist becomes a bullet point in someone else's changelog. I didn't build something a big company could copy I built something a big company could copy by accident, on a Tuesday, while shipping something else.
I made Agent Diff Sentinel, a small CLI that scans a git diff before merge and flags things worth checking first: auth/billing/security changes, secret-looking lines, missing tests, dependency drift, oversized diffs, and temporary markers.
Repo: https://github.com/subhanA-UA/ag...
Live page: https://subhana-ua.github.io/age...
Curious how other builders review AI-assisted PRs right now.
I ve been thinking about something that doesn t get enough attention in the gaming world:
Accessibility isn t only about making a game playable. It s also about making the gaming community accessible.
A blind gamer might find an accessible game, but what happens when they want to meet other players, talk about games, make friends, join a community, or simply hang out?
That question is what led us to build Dora Station.
Have you ever wondered why we still rely on resumes for hiring, even though research shows they aren't the best predictor of job performance? I've spent my career in casting and matchmaking, which are all about finding and reading talented people. When I started exploring hiring, I expected a more thorough process. Instead, I noticed the industry mainly depends on keyword matching and job titles, despite decades of proof that behavioral and values-based assessments predict success and retention much better. I'm really curious to hear your thoughts: Is it just tradition? Do resumes seem more legally solid than structured interviews? Is it because they re quick to scan at scale, even if they don t say much? Or maybe we just haven t yet developed the tools to do it differently on a large scale? I've been working on Rh yo, a SaaS platform that scores candidates and roles based on fit and values rather than keywords and titles. I don't think resumes will disappear overnight, but I'd love to know what it would take to change the way we do things.
I ve been working on ReviewCook ( or Review Cook) and it started with a problem I kept noticing with local businesses: getting customers to actually write a Google review is often harder than getting them to have a good experience.
So we re trying a different approach.
Instead of asking customers to figure out what to write, they can scan a QR code, share their experience by voice or text, and our app turns that into a review draft that they can edit and submit themselves.
What I m most interested in right now is the friction between I had a great experience and I ll actually write a review.