Architecture breakdowns, delivery playbooks and hard-won lessons on AI, SaaS, web, mobile and cloud. No thought leadership — just what works.
How to stop agent loops, coordinate shared memory across specialised agents and keep execution deterministic when a multi-agent system acts on real business systems.
Vikram Shenoy October 2026
RAG & LLMs 10 min read
Ananya Deshmukh October 2026
Frontend Engineering 10 min read
JP INFOTECH AI Team September 2026
AI Automation 9 min read
Written by the engineers who ship it.
Every article is authored by a practitioner and reviewed by a principal engineer before it is published.
AI agents and RAG, SaaS and web architecture, mobile, DevOps and honest budgeting — practical guides from the teams who build it.
10 articles
How to stop agent loops, coordinate shared memory across specialised agents and keep execution deterministic when a multi-agent system acts on real business systems.
Why cosine similarity fails on enterprise documents, and how hybrid BM25, vector and graph retrieval, reranking and citation checks stop unsupported answers.
How to ship a WebGL hero without failing Core Web Vitals: HTML-first LCP, zero layout shift, lazy and compressed 3D assets, async shaders, honest INP and fallbacks.
Why deflection-rate chatbots disappoint, and how to build AI support agents that look up orders, issue refunds and hand off to humans with full context.
A practical guide to multi-tenant SaaS: choosing a tenancy model, SSO and roles, billing with GST, taming noisy neighbours and avoiding mistakes that are costly to undo.
Prompting, RAG and fine-tuning change different things. A practical framework for choosing between them, with costs, data needs and model hosting trade-offs.
Blue-green, rolling and canary releases, safe database migrations, SLOs and rollback, then the cost side: right-sizing, commitments, spot, egress and FinOps habits.
An even-handed comparison of Laravel and Next.js for founders and CTOs: strengths, SEO, hosting costs, hiring in India, MySQL or PostgreSQL, and hybrid setups.
A practical guide to offline-first mobile apps: local databases, sync queues, idempotency, conflict strategies, OS background limits, testing and on-device security.
What really drives custom software cost, how fixed-price, time-and-materials and pod models compare, the hidden costs to budget for, and how to read a quote.
Talk to the engineers behind these notes. We'll review your current system and outline what it would take to get it production-ready.
