I have been writing about CodeClone 2.0 in public while the beta line was still moving. It started with the baseline-aware code health model, then moved into the budget-aware MCP server for AI agents, the review surfaces for VS Code, Claude Desktop, and Codex, and finally Coverage Join: the part where structural findings learn what your tests actually cover. Now CodeClone 2.0.0 is stable. This pos
I rebuilt my blog's cache. Bots are the audience now
Want to keep Ubuntu updated? Run these commands on your PC via terminal, or create a .sh file and add the following commands: Bash If you don't know how to create the .sh file, no problem! Just navigate to the folder in your terminal and run the following: touch file.sh ----> creates the file nano file.sh -----> opens the file in the terminal Finally, add the previous commands to the file, press C
Understanding Markdown: What It Means in Writing and How to Use It Markdown is one of those tools that looks deceptively simple until you try to use it in a real dev workflow. Then it suddenly matters. Not because Markdown is magical, but because it turns writing into something that can be rendered, reviewed, versioned, and automated without turning your prose into a fragile pile of formatting.
When most developers want to scan their code for security vulnerabilities, they install Semgrep or Snyk and call it a day. I did the opposite. I built one from scratch. Not because the existing tools are bad — they're excellent. But because I'm transitioning from 13 years of software engineering into application security, and I wanted to understand what a SAST tool actually is underneath the hood.
Dart's concurrency model is unusual: single-threaded event loop by default, with explicit Isolates for true parallelism. No shared memory, no race conditions, no mutex locks. This guide covers everything from the simple compute() helper to long-lived Isolate workers, structured concurrency patterns, and Stream-based reactive flows. Concept Dart Isolates JavaScript Workers Java Threads Memor
Monetization is where most indie SaaS apps die. Not because the product is bad, but because the pricing is wrong, the freemium tier is too generous, or the upgrade path is invisible. This guide covers the full stack: value-based pricing principles, freemium architecture, Stripe + Supabase implementation, and conversion optimization. The classic mistake: pricing based on features ("get 5 exports pe
Supabase Edge Functions run on Deno Deploy and are far more capable than simple REST handlers. This guide covers three advanced patterns every indie developer should know: streaming responses (for LLM integrations), WebSocket upgrades (for real-time features), and background jobs using EdgeRuntime.waitUntil. The most common use case is streaming LLM output without blocking the client. // supabase/