Documenting my journey as a developer, sharing insights from building real-world applications, and exploring the latest in web technologies.
Thoughts, learnings, and insights from my daily development journey.
I rebuilt an entire backend from Node.js/Express to Python FastAPI in less than a week. Here's why Python won for AI-native applications, and the architectural patterns that made the migration seamless.
Today I learned that 'AI Engineering' is 10% modeling and 90% systems engineering. Here's how I'm applying production standards to the OpenAI API, token management, and prompt engineering.
Today I learned that production-grade AI systems require more than just LLM integration: circuit breakers for resilience, semantic caching for performance, and architectural patterns that prevent outages before they happen.
Today I learned that building a production-ready POS system means solving problems you never see in tutorials: offline queuing, conflict resolution, and making vanilla JavaScript scale to 1000+ products on 2GB RAM devices.
Today I learned that the boring parts of software engineering—error handling, progress saving, file deduplication—are what separate toy projects from production systems.