#ai

24 articles

The AI Dilemma

The software industry has a short memory. Every generation of tooling has made the same promise: let the machine handle implementation so humans can focus on the problem, in mostly disappointing ways. Now LLMs are making the same pitch, and the instinct is to either panic or sneer. Both responses miss the point. What changed isn't the promise - it's how much of it is actually being kept. The question worth asking isn't whether to adopt, but how to do it without hollowing out the understanding that makes the tools useful in the first place.

Tela: A userspace private cloud

Tela is a remote-access fabric built around encrypted WireGuard tunnels relayed over WebSocket, with no TUN device and no admin privileges required on either end. That implies that spinning up a Tela network has a relatively light administrative burden in terms of system permissions. The access levels required makes it interesting: Tela is not "just another tunnel,” but a userspace tunnel that would be appropriate for all kinds of constrained access deployments.

Comprehension Debt: the Cost of Relying on AI Code

Addy Osmani put out an essay called "Comprehension Debt - the hidden cost of AI generated code." The problem is that AI can indeed generate code incredibly quickly - but it's more quickly than humans can integrate or understand, or evaluate. The result is a codebase that "works" - code created with "just make the tests pass, please" - but that humans don't understand, and cannot or do not review.