Manish Mukherjee

Is this stack overkill? Absolutely.

I intentionally over-engineered this as a showcase. But I've used these same tools and practices on enterprise platforms at global scale. Below: what powers this site, and what I've built on other production systems.

Built in hours, not weeks.

Full production site: contact form, Supabase backend, 228-test suite, rate limiting, email notifications, CI/CD pipeline, and automated AI code reviews. This is what AI-accelerated development looks like with experienced architectural oversight.

Stack Breakdown

Replit, bolt.new, Lovable, Windsurf — great for demos. Not for production.

App generators can build something that looks like a product. I use AI tools too — but the engineering decisions are mine, not the model's.

What app generators are great at
Working UI and responsive layouts in minutes
Database, auth, and deployment wired up automatically
Backend logic that works when everything goes right
Something demo-ready you can show investors tomorrow
What production actually requires
Input sanitization, rate limiting, injection protection
Architecture that doesn't collapse at 1,000 concurrent users
Tests that catch regressions before your customers do
Error handling for when third-party APIs go down
A migration strategy for when your data model inevitably evolves
Knowing which shortcuts are fine now vs. which will cost you 10x later

What I've Built at Scale

Beyond this showcase site — production systems I've architected and shipped at enterprise scale.

Auth / RBAC / SSO

Role-based access, approval workflows, and publishing controls across Zscaler platforms

Real-Time Systems

Trust Portal displaying live system status and incident updates across global cloud environments

Search & Content at Scale

Re-architecting content structure and search for a library of 100,000+ videos and articles

CMS Architecture

Headless CMS backends and 4 major corporate website redesigns supporting brand, product, and investor goals

API-First Design

System boundaries, APIs, and frontend patterns for scalable, evolvable platforms

Compliance & Security

FedRAMP, SOC2, GDPR across customer-facing systems in collaboration with Security and Legal

CI/CD & DevOps

Docker, AWS, Google Cloud, Cloudflare, deployment pipelines for enterprise platforms

Analytics & Integrations

Google Analytics, BigQuery, Salesforce, HubSpot - third-party API orchestration

Internal Tools

Company-wide intranet for 7,000+ employees, ~40% reduction in time-to-information

Performance & SEO

Core Web Vitals, Lighthouse, technical SEO optimization across enterprise sites

Want this approach for your project?

AI-accelerated development paired with enterprise engineering discipline. Ship faster without sacrificing quality.

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