Dev Blog & Articles
Thoughts, architectural deep dives, and lessons learned from building production AI systems and full-stack applications.
Topics:#NodeJs#Web Scraping#Cheerio#Automation#WhatsApp#AI Agents#GitHub#Architecture#ChromaDB#Vector Databases#LLM#Information Retrieval#OpenAI#React#Azure#NLP
Building a Resilient Amazon Stock & Buy-Box Monitor with Cheerio and WhatsApp
How to engineer an automated scraper and availability watcher that parses modern Amazon buy-boxes, bypasses bot blocks, and sends instant WhatsApp alerts.
NodeJsWeb ScrapingCheerio
Read article Building an End-to-End AI Bug Triage Agent with Multi-Tool Orchestration
How we connected a custom platform I helped build, Notion, Cursor, and GitHub into an autonomous triage loop to eliminate manual issue overhead.
AI AgentsAutomationGitHub
Read article Vector Search at Scale: Indexing Historical Agent Conversations with ChromaDB
Architecting a high-performance vector search pipeline to index, retrieve, and analyze client-agent dialogue embeddings.
ChromaDBVector DatabasesLLM
Read article Lessons Learned Migrating Production University Chatbots to GPT-4
Key strategies, prompt engineering patterns, and fallback safeguards when scaling Azure OpenAI to thousands of students.
OpenAIReactAzure
Read article