AI-Assisted Unused & Dead Code Removal
Why Your Codebase Is Forcing AI to Underperform, and What to Do About It Your AI coding assistant is only as good as the codebase it works …
Category
Debugging
Enabling AI Agents to Use a Real Debugger Instead of Logging
Every Java developer has been there. Something breaks, and the first instinct is to litter the code with System.out.println(">>> HERE - by …
Unikernel: Profiling and Troubleshooting JVM on Nanos Unikernel
Profiling a Java Application Running Inside an Unikernel with JProfiler Unikernels are often associated with minimalism and tight resource …
The Art of Performance Tuning: Why Saving 30% in the Cloud Means Nothing if Your Code Wastes 1000× More
The Hidden Cost of “Good Enough” Code A few weeks ago, Kirk Pepperdine published a fascinating performance challenge — a small Java code …
Spring AI Debugging + How to Contribute to Open Source
In this episode, I focus on continuing my journey with vector databases, integrating Pinecone, Neo4J , and Spring AI.
The slow Death of the onjcmd Debugger Feature
Learn about the rise and fall of the onjcmd Java debugger feature, from its inception to its eventual removal.
Front End Debugging Part 2: Console.log() to the Max
Learn advanced front-end debugging: use console log levels, CSS styles, assertions, & more to simplify and enhance your development workflow
Front End Debugging Part 1: Not just Console Log
Learn advanced techniques for debugging across the full stack, from frontend tools to system-level troubleshooting, streamline development.
The Art of Full Stack Debugging
Tired of frustrating bugs? Learn practical, real-world strategies for full stack debugging to track down issues from frontend to backend!
Profile IntelliJ IDEA with its own profiler
Analyzing a curious bottleneck in IntelliJ IDEA using the built-in IntelliJ Profiler and several handy debugger features.