The Date object has gaslit JS devs for 30 years.
Months starting at 0. Timezones? Guess work.
Node.js v26 shipped a permanent fix.
Temporal API is now default. No flags. ๐งต
I built microservices with isolated DBs.
Thought I was clever.
Turns out I was just doing cell-based architecture badly.
Worth it for payments. Overkill for your todo app.
๐ https://t.co/gX3WIhC7NE
Static data (currency rates, merchant codes) is
pre-loaded into each cell before transactions arrive.
No cross-cell calls in the critical path. Ever.
Also: logging goes down? Drop the logs.
A log line will never block a payment.
Hardest part: chunking strategy.
Too small โ AI loses context between chunks
Too large โ blows the LLM context window
Wrong overlap โ misses connections across paragraphs
The AI model is the easy part. The data pipeline is where you actually spend your time.
AI can write your CRUD, scaffold auth, generate components.
What it can't do:
Know your Postgres falls over at 100k users without read replicas. Catch that microservice boundary creating a distributed transaction problem.
System design is the new moat. Learn it.
Aaj ka gyaan -
Few amount of developers don't trust AI-generated code.
That number should be higher.
AI writes the happy path. It skips error handling, misses edge cases, and ignores auth on "obvious" routes.
Use it to go faster. Not to stop thinking.
AI agents write better code in clean codebases.
In a legacy monolith with no tests? It confidently generates code that compiles, passes review, and silently breaks production 3 weeks later.
AI amplifies what's already there.
Fix your foundations first. Then bring in the agents.