Jared

The technical divergence is interesting, though.

Repl.it optimized for append-heavy workloads with 16MB blocks, where a single 4KB update amplifies to 16MB writes.

Tiger Data went with 4KB blocks, about 1ms of read latency, and less than 5ms of write latency, optimized for the fine-grained, random access patterns that database workloads actually produce.

Different roads, same destination.

Snapshot-based infrastructure isn't optional for production AI systems.

It's foundational.

Read the full comparison at TigerData.com or check the link in the newsletter to get to that blog post.

You can code only four hours per day.

Here's why.

Here's Milan Milanovic.

Quote, you probably felt it.

After a few hours of coding, your brain isn't as fresh anymore.

A good day can give you maybe three to four hours of deep, focused coding.

After that, quality and focus drop.

Research in cognitive psychology also supports the pattern.

Across the teams I've led and coached, the same loop keeps showing up.

Developers judge themselves by an eight-hour ideal, then feel behind when only a few hours produce real output.

But high-focus work has a ceiling.

Treating three to four hours as the primary objective leads to better software and less burnout."

This certainly resonates with me.