Insights

Ideas & Perspectives

Thoughts on engineering, data, AI, and building technology that matters.

No articles match your search.

Isometric illustration of data pipelines connecting databases with a security shield and growth chart
Engineering
March 15, 2026 · 15 min read
Building Resilient Data Pipelines at Scale
How to approach reliability and observability in modern data infrastructure.
Isometric illustration of developers collaborating with an AI robot around a laptop
AI & Strategy
March 1, 2026 · 9 min read
AI-Augmented Development Teams: The Case For Them
AI-augmented development teams need practical frameworks for integrating AI tools into engineering workflows without losing quality.
Industrial robotic arm in a white automated storage facility
Architecture
February 15, 2026 · 11 min read
From Legacy to Cloud-Native: A Migration Playbook
A practical playbook for modernizing decade-old, on-premises systems into cloud-native architecture without stalling the business.
Software engineer reviewing code on dual monitors at her desk
Engineering
February 1, 2026 · 6 min read
Designing APIs That Last
Principles we follow to build APIs that evolve gracefully and serve multiple consumers well.
Isometric illustration of an AI agent workflow with a red failure indicator on one node
AI & Strategy
April 1, 2026 · 8 min read
Why Most AI Agents Fail in Production
The specific technical reasons AI agents that work in demos break in production, and what building for real reliability actually requires.
Diagram of a retrieval-augmented generation pipeline with document ingestion, vector search, and LLM generation stages
AI & Strategy
April 15, 2026 · 9 min read
Enterprise RAG Systems: What It Actually Takes to Ship One
The gap between a RAG proof of concept and a production system that enterprise users trust, and how to close it.
Split diagram contrasting a chatbot conversation interface with an automated workflow pipeline
AI & Strategy
May 1, 2026 · 7 min read
Operational AI vs. Chatbots: Understanding the ROI Gap
Most enterprise AI is a chat interface. The real ROI comes from AI that runs processes, and the gap between the two is worth understanding.
Enterprise workflow diagram showing custom AI tool integrations with internal systems of record
AI & Strategy
May 15, 2026 · 8 min read
Custom Internal AI Tools: Why Generic Software Fails Enterprise
Off-the-shelf AI tools work for the median customer. Enterprise internal use cases are not the median, and the gap shows up in ways that matter.
Diagram contrasting data flowing into a warehouse via traditional ETL with data flowing out to operational tools via reverse ETL
Data Engineering
June 1, 2026 · 7 min read
Reverse ETL vs. Traditional ETL: Choosing the Right Data Movement Pattern
Traditional ETL moves data into your warehouse. Reverse ETL moves it back out to the tools your teams actually use. Here's how to decide which direction your next pipeline needs to run.
Side-by-side comparison of a version-controlled dbt project structure and a database stored procedure editor
Data Engineering
June 8, 2026 · 7 min read
dbt vs. Stored Procedures: Modern Data Transformation Compared
Stored procedures have transformed data inside the warehouse for decades. dbt applies software engineering discipline to the same job. The difference shows up in testing, versioning, and how fast your team can move.
Architecture diagram showing a legacy on-premise ETL server transitioning to a cloud-native managed pipeline stack
Cloud & Infrastructure
June 15, 2026 · 8 min read
Legacy ETL vs. Cloud-Native Data Pipelines: What Changes When You Modernize
Informatica and SSIS built the last generation of enterprise data platforms. Here's what actually changes when you move to a cloud-native stack, and what doesn't.