The Stack Trace Triage Problem Every app that ships crashes. Users hit unexpected states, device configurations trigger edge cases, third-party libraries fail in mysterious ways. When a crash report lands in Firebase Crashlytics, you’re looking at a stack trace, maybe some breadcrumbs or custom logs, and you need to decide: Is this a high-priority bug? […]
LLM Prompts for Code Refactoring: Structuring Your Requests When you’re facing a large refactoring task in your Android codebase, asking an LLM the right way can save you hours. Unlike simple coding questions, refactoring requires your AI assistant to understand the architectural context, the business logic you’re preserving, and the specific constraints of your project.
Generate Architecture Documentation Automatically from Your Codebase You know the problem: your app’s architecture documentation is either non-existent, wildly out of date, or buried in scattered wiki pages that nobody reads. By the time you onboard a new developer, they’re confused about module boundaries, data flow, and how components talk to each other. Modern LLMs
Rubber Duck Debugging with AI: The Modern Approach “Rubber duck debugging” is an old technique: you explain your bug to an inanimate object (a rubber duck), and in the process of explaining, you discover the problem yourself. Today’s AI assistants make this technique more powerful. Instead of talking to a duck, you can ask an
AI-assisted development has moved well beyond autocomplete. Claude Code — Anthropic’s agentic coding tool — can read your project, reason about your architecture, write Kotlin, generate tests, and even help you debug Gradle. But like any powerful tool, it rewards those who know how to use it well. This guide walks you through everything you
