THINKING
OUT LOUD
Technical articles & case studies from the field.
How We Evaluated and Adopted Agentic Coding Across Our Engineering Org
A no-hype account of evaluating Claude, Codex, and Gemini — the cost math that changed our minds, 11 workflows we actually use in production, and what rolling out to 50+ engineers really looks like.
How We Made Our Legacy Crons 25x Faster
Legacy PHP crons were slow and getting slower. A step-based debugging approach found the real bottlenecks — and the result was 25x faster execution.
Five Legacy Systems, Zero Downtime: The Migration Playbook
Hard-won lessons from replacing interconnected legacy systems at a 1M+ monthly traffic edtech platform — real migration timeline, the two-monorepo architecture decision, zero-downtime PHP backend cutover, and what's still in flight.
We Deployed AI Voice Agents to Cover the Weekend Sales Shift. They Worked.
How we shipped voice AI agents for Simplilearn's sales pipeline — the engineering behind latency constraints, conversation flow design, CRM integration, and what the Saturday lead problem taught us about AI-human handoff.
How I Grew 20+ Engineers Without Headcount Authority
I'm not anyone's manager. I have no direct reports. But over the past year, I've watched engineers on our team fundamentally change how they work — not because I told them to, but because I showed them something better and made it easy to adopt.
18 Months Running LLMs in Production: The Parts Nobody Talks About
Running language models in production at Simplilearn — across a quiz generator, chatbots, and our voice AI platform voice agents — taught us that the gap between tutorial code and production-ready code is an entirely different engineering discipline.
Rewriting Simplilearn's Architecture: Two Monorepos, One Direction
The full story of inheriting two legacy monoliths, deciding on two Turborepo monorepos, migrating to Next.js and NestJS — and the operational lessons we earned running them in production at 1M+ monthly visitors.
The Gap Between a Great AI Demo and a Feature That Survives Production
Most AI features are demos dressed up as products. Here's the full picture: how we decided what to build, the process we evolved shipping AI at Simplilearn, and what separates features that survive production from features that don't.
1M+ Monthly Users: What Actually Breaks and What Surprisingly Doesn't
When you join a platform already serving 1M+ users, every new app you ship must be designed for that scale on day one. Here's what that architectural discipline looks like in practice.
The Frontend Performance Journey Behind Simplilearn's Next.js Migration
Migrating Simplilearn from a legacy React stack to Next.js wasn't just a technology upgrade — it was a systematic performance intervention that took uptime from 95% to 99% and measurably improved page load times for millions of learners.
We Put CrewAI Agents in Our Support Pipeline. Here's What Production Actually Taught Us.
An honest war story from 2023–2024 — early multi-agent orchestration before it was fashionable, what broke, and what actually drove a 25% reduction in resolution time.
AI Video Synthesis at HappyCredit: Before the Hype Had a Name
A first-person account of building production AI video testimonials with DeepFaceLab and ElevenLabs in 2022–2023 — before LLMs took over everything.