Ideas from the engineering floor.
Technical articles, case studies, and honest perspectives on AI, data engineering, and building software that lasts.
Case Studies
Building a RAG Pipeline That Reduced Support Tickets by 60%
How we designed and deployed a production-ready Retrieval-Augmented Generation system for an enterprise SaaS company — and the architectural decisions that made it work at scale.
Migrating a $10M Data Pipeline: Architecture Decisions We Made (and Regretted)
A transparent post-mortem of a large-scale data infrastructure migration — what worked, what we'd do differently, and the lessons that apply to any growing data team.
From Idea to $500K ARR: The Engineering Architecture Behind a FinTech MVP
We partnered with a FinTech founder from day zero. Here's every architectural decision we made building a compliant, scalable financial platform in 14 weeks.
Articles
LLM Fine-Tuning vs RAG: When to Use Which (2025 Guide)
A practical framework for deciding between fine-tuning a model and building a retrieval-augmented system — including cost, latency, and accuracy trade-offs.
5 Signs Your Data Pipeline Needs a Rewrite
If your engineers are spending more time fixing data quality issues than building features, you might have a pipeline problem. Here's how to diagnose it.
Why Growth-Stage Companies Choose Boutique AI Studios
The hidden costs of hiring big consultancies for AI projects — and what you actually get when you work with a focused, senior team instead.
Zero-Downtime Deployments: The Checklist We Use on Every Project
After 46+ projects, we've distilled our deployment process into a checklist that prevents 90% of production incidents before they happen.
The Real Cost of Building vs Buying AI Infrastructure
A transparent cost breakdown: when does custom AI development make sense versus using off-the-shelf APIs? We ran the numbers on 12 real projects.
Working Across Time Zones Without Losing Your Mind
Our async-first playbook for running high-trust, high-output engineering collaborations between India and the US/EU.
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