What we call parsing should be about understanding data, not about moving data around so we can understand it.
What we call parsing should be about understanding data, not about moving data around so we can understand it.
Your self-correction capacity defines where the universe goes.
A demo is a movie. Code is literature. If you cannot say what you are building, your teammates cannot either.
The ? early return that made the function look clean and nice is the line you cannot find when the alert hits your after eight hours of working on something else.
A green CI proves consistency. LLMs are hermeneutic engines: they cannot tell whether the system is true to the world you care about.
Accounts, Programs, ownership, Sealevel; the Solana building blocks that unlock your thinking about real-world use cases and applicability.
AI‑generated content that is good enough can masquerade facts and induce mistakes. Are we detecting this systematically?
We automated the cheap half of trust: contracts and types. The expensive half, evidence on how the system actually behaves, we still answer with a vibe.
Removing an indirection is a false optimization. You don’t think so? Let’s take a look.
The moment everyone nods at the problem is the moment to slow down.