Vasim Gujrati
Latest from Vasim
Single AI Agent vs Multi-Agent Systems, A Decision Framework
One agent, hybrid, or multi-agent? A decision framework covering workflow structure, cost per successful workflow, latency, reliability, and when a split is actually justified.
True Cost of Xano at Scale in 2026
The Xano subscription is the smallest line in a real budget. Verified plan prices, the three upgrade steps, the $500 per month HIPAA BAA, and worked yearly budgets for MVP, SaaS, and regulated builds.
Xano vs Bubble, When to Use Each in 2026
Xano wins for production backends with portable REST APIs, compliance, and native mobile frontends. Bubble wins for all in one MVPs built fast by one person. Decision table plus verified 2026 pricing.
Migrating to Google Cloud, A Practical Guide
How to migrate to Google Cloud in 2026, the four phase framework, the six R strategies, the tooling, downtime minimization, and India data residency.
Google Cloud Cost Optimization Guide for 2026
How to cut a Google Cloud bill in 2026 with sustained and committed use discounts, spot VMs, rightsizing, storage tiering, and FinOps discipline.
AI Engineer Skills for Production AI in 2026
What an AI engineer actually does in 2026, how the role differs from ML engineer and data scientist, the real skill stack, and what separates production from a prototype.
Is Supabase Production Ready in 2026?
A straight answer on whether Supabase is production ready, the scaling limits that actually bite, and when to fix in place versus migrate off.
The Supabase RLS Security Checklist for 2026
A practical Supabase row level security checklist, with the exact SQL and requests an engineer runs to prove every table, key, and bucket is protected before production.
Taking Over an Existing Codebase, A Playbook
A practical playbook for inheriting someone elses code, from audit and knowledge transfer to stabilization, with a 30, 60, 90 day plan for shipping safely.
Rebuild vs Refactor, How to Decide
A decision framework and a founder scorecard for rebuild vs refactor, when refactoring in place wins, when a rebuild is justified, and how to migrate without a big bang.
Building Xano Backends with Claude Code and the Xano Developer MCP
The Xano Developer MCP and CLI give AI coding agents live workspace context. How the pairing with Claude Code works, what context engineering means in practice, and the workflow an Enterprise Xano partner runs daily.
Fine Tuning vs Prompt Engineering, When to Use Each
Prompt engineering is usually enough at first. When fine tuning becomes worth the cost, complexity, and maintenance, with a clear five step decision framework for AI teams.
Why AI Models Fail in Production, the MLOps Gap Explained
Most AI models stall after the demo. Where the MLOps gap shows up, why pilots fail, and the operating model teams use to ship reliable AI into production.
MLOps vs DevOps, Key Differences Every Engineering Leader Should Know
DevOps ships code. MLOps runs code, data, and models. Where they differ, when plain DevOps is enough, and what changes when AI goes into production.
Node vs Python vs Java in 2026: Which Backend to Choose
Node.js vs Python vs Java in 2026: how they compare on performance, talent, ecosystem, and fit, with a clear pick for APIs, AI, and large enterprise backends.
Claude vs GPT vs Gemini in 2026: Which AI Model to Use
No single winner. Claude leads coding and agents, GPT owns the broadest ecosystem, Gemini wins on context, multimodal, and price. Which to use for each job.
RAG vs Fine Tuning vs Agents, Choosing the Right LLM Strategy in 2026
RAG vs fine tuning vs agents in 2026, what each does, costs, and a clear decision framework for grounding, customizing, and acting with large language models.
We Built a Production Website in 4 Hours with Claude Fable 5. When ChatGPT Launched, It Took a Team Months.
We built a full marketing website in about 4 hours with Claude Fable 5, logo and SEO included. When ChatGPT launched, the same site took a team months.
