Your coding-agent quota is at 99%. Now what?
The agent already explored the repo and understands the task. Hand off that session state instead of reconstructing it somewhere else.
Practical notes, release announcements, and engineering deep-dives from the projects built at PVR Labs.
The agent already explored the repo and understands the task. Hand off that session state instead of reconstructing it somewhere else.
A JDK 25 Alpine follow-up completed the hour on a nominal 256 MiB VPS, but high swap use and a long scheduling delay kept the result firmly in stretch-test territory.
A Spring Boot 3.5 app with JPA, Tomcat, and Actuator ran on 512 MB plus a small swapfile. The monitor stayed around 12 MiB.
Review complete Git changes in VS Code, then use focused repository context when an AI reviewer needs more evidence.
How a small Bash wrapper reduced successful Maven output by more than 99.7% while preserving useful diagnostics for coding agents.
Use AI coding assistants without granting them repository access: map locally, disclose only reviewed context, and confirm every proposed write.
Turn Spring Boot Actuator data into a focused dashboard for a few applications on a VPS, without operating a full Prometheus and Grafana stack.
Autonomous coding agents consume tokens rapidly during reviews by rescanning projects and pulling broad context. Learn how to map locally, extract precise snippets, and review efficiently in any web chat.