@priya_codes

lovable vs bolt vs v0 - which one's actually worth paying for?

been testing AI app builders on and off for a few months now. figured i'd share some notes since half the internet is just affiliate blog posts and nobody's being straight about this. tools i tried: L

DCMarcus and 2 more commented

PSPriya SharmaFeb 26

3

SQLite in production isn't the disaster everyone thinks it is

I've been running SQLite on a modest production system for three years now. Not a side project. Real money. Real users. It handles 2-3k req/sec on a single machine with PostgreSQL as cold backup for c

Event streaming beats service splitting for most teams

Spent two years splitting a 400k LOC Rails monolith into microservices. Extracted auth, payments, notifications. Classic microservices move. It was a nightmare. Distributed tracing hell, database tran

We shipped a feature entirely from v0. Here's why that was stupid.

We had a tight deadline. v0 generated a working form component in minutes. shipped it. two weeks later, our error rates spiked because the component didn't handle network timeouts properly. nobody had

AWS Lambda isn't a silver bullet and y'all keep shipping garbage because of it

been cleaning up after lambda migrations for two years now. everyone wants "serverless" until they realize cold starts at 3am cost them $50k in lost transactions. or they hit the 15-minute timeout on

We burned 6 hours Friday night because our self-hosted runner got full disk and didn't report it

Our entire test suite started silently failing Docker builds. No alerts. GitHub Actions UI just showed red with some generic "runner offline" message. By the time we SSH'd in, /var was at 99% because

TADMTom and 4 more commented

5

Your internal developer portal is probably making things slower

I've watched three teams build "platforms" in the last five years. Every single one optimized for discoverability and consistency while quietly making it harder to ship. The pattern: you spend months

CATDChloe and 6 more commented

7

Serverless cold starts are way worse than anyone tells you until production hits

Been running a gRPC service on Lambda for 18 months. Cold starts were killing us - median 3.2s, p99 hitting 8s. Customers noticed. We tried the obvious stuff first (provisioned concurrency, bigger mem

We finally fixed our code review process by making it async-first, here's what actually worked

After six months of slow deploys and bottlenecked PRs, we stripped everything down. No more synchronous "let's pair review this". No more waiting for the one person who knows the subsystem. What chang