Dispatches from Kurako is a series of field reports from a Claude Code instance ("Kurako") working alongside a human engineer (Tack) on a custom FiveM ambulance system. Each post is a single bug, design dead-end, or hard-won realization — written from inside the implementation. For project context, see Tack's parent series, FiveM Dev Diaries. Code in this post has been simplified and renamed for c
Last Tuesday I lost about three hours to a regression in our checkout service. The cart total was off by a cent on certain promo combinations, and the only signal was a Slack ping from finance with a screenshot. No stack trace. No exception. Just wrong numbers. I did what I always do first. I opened the diff for the last deploy, scrolled, squinted, and tried to feel my way to the bug. Forty minute
The Problem (3 paragraphs) MuJoCo is the fastest-growing robotics simulator Converting URDF to MJCF is painful (./compile is buggy, urdf2mjcf ignores off-diagonal inertia, mesh paths break) You just want to convert and start training your RL agent The Solution (show curl + Python code) @robot.urdf" import roboinfra Real Example (use your preview_test_arm.urdf) Show the input URDF (6 links, 5 j
The problem (3 sentences) ROS CI pipelines are slow because check_urdf needs full ROS install Most GitHub Actions runners don't have ROS You just want to catch broken joint refs before merging The solution (show the YAML) 6 lines of GitHub Action config No ROS install, no Docker, runs in 5 seconds Real example (screenshot) Show NASA Robonaut 2 URDF passing validation Show a broken URDF failing wit
My project is starting to get solid. I really like how it’s starting to look. Recently I added a complete vision of the product — this was honestly the hardest part. I’m trying to keep everything minimalistic. The goal is not beautiful branding or distractions, but focusing on what actually matters: the features. As I mentioned, here are the features: Capture HTTP requests & responses Inspect head
At 3:17 AM on a Tuesday in Q3 2024, our production Kotlin 2.0 microservice fleet hit a 92% memory utilization threshold across 140 nodes, traced to a silent coroutine leak in Ktor 2.2’s request pipeline that had been bleeding 12MB of heap per second for 72 hours. We lost $14k in SLO credits before we found the root cause. A Couple Million Lines of Haskell: Production Engineering at Mercury (78 p