Vasim Gujrati

by Vasim Gujrati·Jul 8, 2026

How to migrate to Google Cloud in 2026, the four phase framework, the six R strategies, the tooling, downtime minimization, and India data residency.

by Vasim Gujrati·Jul 8, 2026

How to cut a Google Cloud bill in 2026 with sustained and committed use discounts, spot VMs, rightsizing, storage tiering, and FinOps discipline.

by Vasim Gujrati·Jul 7, 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.

by Vasim Gujrati·Jul 7, 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.

by Vasim Gujrati·Jul 7, 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.

by Vasim Gujrati·Jul 6, 2026

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.

by Vasim Gujrati·Jul 6, 2026

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.

by Vasim Gujrati·Jul 5, 2026

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.

by Vasim Gujrati·Jun 30, 2026

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.

by Vasim Gujrati·Jun 30, 2026

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.

by Vasim Gujrati·Jun 30, 2026

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.

by Vasim Gujrati·Jun 16, 2026

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.

by Vasim Gujrati·Jun 16, 2026

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.

by Vasim Gujrati·Jun 16, 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.

by Vasim Gujrati·Jun 14, 2026

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.

by Vasim Gujrati·Jun 10, 2026

Anthropic's Claude Fable 5 and Mythos 5, explained. Benchmarks (80.3% on SWE-bench Pro vs 58.6% for GPT-5.5), pricing ($10/$50 per million tokens), real results from Stripe and GitHub, safety, and what they change for teams building with Claude.

by Vasim Gujrati·Jun 3, 2026

AI maintenance costs go far beyond hosting — inference volatility, monitoring and evals, governance, and human-in-the-loop oversight. What drives post-launch spend, cost ranges by product type, and how engineering choices cut it.

by Vasim Gujrati·Jun 3, 2026

Direct point-to-point APIs or a Model Context Protocol layer? A practitioner's comparison of scalability, governance, and interoperability — when each fits, and why governance complexity arrives earlier than most enterprise AI teams expect.

by Vasim Gujrati·Jun 3, 2026

What actually breaks when AI-assisted development scales — inconsistency, shallow reviews, documentation drift — and the workflow discipline (standards, architecture-fit reviews, testing, continuous refactoring) that keeps large AI-built codebases maintainable.

by Vasim Gujrati·Jun 3, 2026

How engineering teams route work across Claude Code, Cursor, and GitHub Copilot — a standardized AI coding workflow from ticket to pull request, with the review and testing discipline that keeps quality intact.

by Vasim Gujrati·Jun 3, 2026

How Unico Connect uses AI to turn scattered inputs — notes, transcripts, BRDs, emails — into structured, gap-checked requirements and a consistent project brief, with human validation at every step.

by Vasim Gujrati·May 23, 2026

Microsoft adding Anthropic Claude alongside OpenAI in Copilot signals where production AI is going. A practical guide to multi-model routing, fallback, and procurement implications.

by Vasim Gujrati·May 23, 2026

AI agents fail in production not because the model is wrong but because the system around the model is not built for autonomy. Three architectural pieces: orchestration, scoped identity, structured tools.

by Vasim Gujrati·Apr 27, 2026

A production voice AI agent runs three integrated layers: ASR, LLM, and TTS. Each adds latency. Total end-to-end response time in production typically runs 1.5 to 3 seconds.

by Vasim Gujrati·Apr 27, 2026

Model Context Protocol (MCP) is Anthropic's open standard for agent-tool integrations. Think USB-C for AI: one standard, many tools, far less custom code.

by Vasim Gujrati·Apr 27, 2026

Xano wins for enterprise deployments, MVPs that need to scale, internal tools, and regulated workloads. Supabase wins for SQL-native teams with pgvector. Custom backends only when truly specialised.

by Vasim Gujrati·Feb 11, 2026

How to deploy production AI with Amazon Bedrock — architecture, serverless patterns, model orchestration, real use cases, security, and best practices.

by Vasim Gujrati·Jan 6, 2026

Real-world Vertex AI use cases — chatbots, predictive ML, document processing, MLOps, and how software teams build AI applications faster on Google Cloud.

by Vasim Gujrati·Jan 6, 2026

What's new in Xano 2.0 — XanoScript, AI-powered assistance, improved performance, advanced API management, and how it changes the no-code backend game.

by Vasim Gujrati·Dec 16, 2025

How agentic AI workflows handle multi-step enterprise processes — patterns, real-world examples, RPA comparison, and benefits like 40–60% efficiency gains.

by Vasim Gujrati·Sep 15, 2025

How Xano Agents power AI-driven workflows — agentic logic, tool orchestration, real use cases, governance, and how to implement no-code AI automation.

by Vasim Gujrati·Aug 18, 2025

How BaaS compares to traditional backend development, when to use it, the top providers in 2025 (Xano, Supabase, AWS Amplify, Firebase), and what comes next.

by Vasim Gujrati·Aug 18, 2025

AI-powered no-code platforms combine drag-and-drop building with AutoML, NLP, and predictive analytics — accelerating app delivery for non-engineers and pros alike.

by Vasim Gujrati·Jun 20, 2025

How AI agents transform enterprise workflows with real-time decision-making, automation, and intelligent insights across healthcare, finance, and retail.

by Vasim Gujrati·Apr 14, 2025

How to evaluate AI development companies in 2026, the leading firms globally, a side-by-side comparison, and how to avoid the common pitfalls in partner selection.

by Vasim Gujrati·Mar 26, 2025

Low-code vs no-code platforms — features, differences, where they fit, and how tools like Xano accelerate efficient web and backend development.

by Vasim Gujrati·Mar 26, 2025

How to build a focused MVP using no-code tools — picking the right platform, scoping features, prototyping, integrations, and scaling beyond no-code.

by Vasim Gujrati·Mar 26, 2025

How colour shapes mobile app design — psychology, colour theory, branding, accessibility, current trends, and how to validate choices with users.

by Vasim Gujrati·Mar 26, 2025

Where no-code is heading next — AI-augmented building, deeper integrations, the maturing stack (Xano, Webflow, WeWeb, FlutterFlow), and what it means for businesses.

by Vasim Gujrati·Mar 26, 2025

A practical decision framework for choosing between no-code and custom app development — complexity, maintenance, security, time, and total cost of ownership.

by Vasim Gujrati·Mar 26, 2025

How no-code platforms drive digital transformation — what no-code is, where it accelerates business, the strongest tools in 2026, and common pitfalls to avoid.

by Vasim Gujrati·Mar 26, 2025

How no-code is reshaping web development — benefits, real limitations, and an honest view of how much market share no-code will capture in the next 5 years.

by Vasim Gujrati·Mar 26, 2025

How no-code development improves business efficiency — faster delivery, lower cost, easier collaboration, automation — plus the honest trade-offs.

by Vasim Gujrati·Mar 26, 2025

Six-step guide to building a custom CRM with no-code tools — pick the right platform, design the data model, customise workflows, and integrate cleanly.

by Vasim Gujrati·Mar 26, 2025

How to build a scalable MVP — what scalability means at MVP stage, the right technical choices, and the common pitfalls that block growth later.

by Vasim Gujrati·Mar 26, 2025

The 10 best no-code tools to build web and mobile apps in 2025 — Bubble, Xano, FlutterFlow, Webflow, Adalo, AppSheet, Glide, Airtable, Squarespace, Appian.

by Vasim Gujrati·Mar 26, 2025

Why teams are choosing Xano for production backends — speed, cost, security, scalability, and the practical benefits of no-code backend development.

by Vasim Gujrati·Mar 26, 2025

Seven advantages of no-code over traditional coding — speed, accessibility, cost, productivity, flexibility, user experience, and a low learning curve.

by Vasim Gujrati·Mar 26, 2025

Five ways no-code is reshaping software development — democratisation, faster time-to-market, lower cost, broader collaboration, and faster innovation.