Senior engineers make authoritative statements
(e.g., "Framework X has vendor lock-in issues").
Other developers adopt these views to align
with credible voices, then propagate them
through their networks.
This creates an exponential spread where opinions
masquerade as facts, potentially influencing technical decisions industry-wide without proper verification.
@CreeCoder I never have followers count so I can't tell. What I think followers count still put an impression at a same time if followes are dead then no ROI
@florinpop17 Actually my whole plan failed brutally.
Goal was to make Banner generation SaaS application. But I tried multiple attempts on claude to give exact banner what I had given to that, it literally out the ruined banner. GPT 5 did the same thing. LOl.
https://t.co/q2vBZnp8Vp
"What the hell is database sharding?"
I asked my senior engineer 3 years ago.
He said, "I'll explain it tomorrow."
That tomorrow never came.
So I figured it out myself.
Here's the explanation he never gave me:
Sharding = splitting your massive database into smaller pieces across multiple servers.
Think 1 giant messy filing cabinet that takes forever to search through vs 3 organized smaller ones where you know exactly which one has what you need.
The lightbulb moment
Instead of cramming 1 million users in ONE database, you split them up:
Shard 1: Users A-H (333K users),
Shard 2: Users I-P (333K users),
Shard 3: Users Q-Z (334K users).
Searching through 333K records is way faster than 1M records. Simple math.