Python 3.15 Lazy Imports: My AI CLI Went From 2.5 s to 14 ms
Python 3.15 lazy imports took my test AI CLI from 2,514.6 ms to 14.1 ms at startup. The benchmark, three traps I hit, and when to skip it.
Notes from a CTO who has to put agents into production. Every post says what I ran, what it cost, and whether I'd use it.
Python 3.15 lazy imports took my test AI CLI from 2,514.6 ms to 14.1 ms at startup. The benchmark, three traps I hit, and when to skip it.
SolidCraft MCP is an open-source CAD server for AI agents. I ran it: great design, one trap where ok:true meant nothing changed. How to guard against it.
ESP32 iPhone Agent lets a vision model tap a real iPhone through a $7 board. I ran its tests and did the token maths for one 20-step task.
Talorys is an MIT-licensed free AI agent that runs in your Cloudflare account. I did the Neuron maths to see how many chat turns a day it really buys.
I ran Cactus Whistle, a 16.9 MB open speech-to-text model, on Québec French, accented English and noise. Here is what it got wrong.
I tried to install the MXC sandbox v1.0.0 on Linux and it failed on node-pty. Here is what it takes to run LLM-written code at a small startup.
WebMCP lets a web page hand tools to a browser agent. I ran it in Chromium 153, hit one real bug, and sketched a half-day Trellis experiment.
ts-rust ported the TypeScript compiler to Rust with agents. I ran it and read its own numbers: the codebase port cost $24k after a $400k stall.
A LiteLLM budget cap does nothing without a database. I tested v1.104.0, then set up per-agent keys and a team spend limit in ten minutes.