Perspectives from our engineering floor.
Notes on what's actually working in AI, cloud, and product engineering — written by the people doing the work.
Applied AI
Why most generative AI pilots never reach production
The gap between demo and deployment usually comes down to data hygiene, deterministic validation, and cost engineering—not foundational model capabilities.
Cloud & DevOps
A practical framework for cloud cost governance
How high-growth engineering platform teams keep AWS and GCP infrastructure spend predictable at scale without sacrificing deployment velocity.
Cybersecurity
Designing for zero trust without slowing teams down
Security and development velocity aren't opposites when architecture is automated, ephemeral, and verified at the edge.
Software Engineering
The real cost of skipping code review under deadline pressure
A post-mortem analysis of incident data from production rollouts reveals why speed without peer review always costs more in the long run.
Product Strategy
Shipping features users never asked for — and why it worked
How deep workflow observation uncovers non-obvious operational optimizations that direct customer interviews miss.
Applied AI
Evaluating LLM output quality beyond vibes
A practical, quantitative rubric for scoring enterprise model responses, latency, and context recall before they ship to production.
EdTech & ERP
Best School Management Software in Bangladesh: 2026 Institutional Buying & Architecture Guide
An in-depth architectural guide for school trustees, principals, and administrative boards evaluating modern cloud ERPs, bKash fee automation, and anti-cheat exam scheduling in Bangladesh.