Senior notes on agentic AI, backend systems, and product delivery.
Practical writing on AI agents, RAG, code review, API architecture, queues, SaaS, realtime systems, and full-stack product decisions that survive production.
Agentic Coding Workflows That Actually Ship
A field guide to giving coding agents enough context to help without handing them decisions they are not equipped to make.
Building AI Features Without Making Everything a Chatbot
AI is often more useful as a small step inside an existing workflow: extract, rank, draft, validate, then let the user decide.
Auditing AI-Generated Code Before It Reaches Production
A review sequence for generated patches, starting at the trust boundary and ending with the code the team will have to operate.
RAG Pipelines for Product Data, Not Demo Data
The retrieval pipeline starts with permissions and document quality, long before a model gets a chance to answer.
Designing Airline Booking APIs for Peak Traffic
Lessons from flight systems where price, payment, booking, and ticketing can all disagree at the same time.
How Multi-Tenant SaaS Backends Stay Maintainable
What changed when a multi-tenant POS backend had to serve real businesses instead of a single demo tenant.
MCP Servers and Tool Calling for Real Developer Products
Tool calling becomes backend engineering as soon as a model can read private data or trigger a real action.
Redis, RabbitMQ, and BullMQ in Real Products
A decision guide based on ownership and failure recovery, not a feature-by-feature comparison.
Realtime Chat Architecture with Socket.IO
Follow one message from authorization to storage, delivery, acknowledgement, and reconnect recovery.
From Backend Strength to Full-Stack Product Delivery
What backend experience changes about the way I build interfaces, contracts, failure states, and complete product workflows.