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Data & AI, written for the people who build it and the people who fund it.

Field notes on data engineering, applied AI, and the decisions behind them — for engineers who ship pipelines and the leaders who bet budgets on them.

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titlecategoryread_time
Why your dbt tests are lying to youdata-engineering6 min
RAG is not a strategy, it's a componentai-ml8 min
The real cost of a data platform migrationstrategy10 min
Idempotency is the only pipeline feature that mattersdata-engineering7 min
What to actually measure before an AI pilotai-ml5 min

Latest posts

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data-engineering6 min

Why your dbt tests are lying to you

Green test runs don't mean clean data. A field guide to the failure modes dbt won't warn you about.

Jul 14, 2026Coming soon
ai-ml8 min

RAG is not a strategy, it's a component

Teams keep shipping retrieval pipelines and calling it a product decision. What's actually being decided.

Jul 10, 2026Coming soon
strategy10 min

The real cost of a data platform migration

Licenses are the visible cost. Here's the spreadsheet most leadership teams never build.

Jul 6, 2026Coming soon
data-engineering7 min

Idempotency is the only pipeline feature that matters

Everything else — orchestration, alerting, lineage — is easier once reruns are safe by default.

Jul 2, 2026Coming soon
ai-ml5 min

What to actually measure before an AI pilot

Four numbers to collect before you greenlight a pilot, and why "accuracy" isn't one of them.

Jun 28, 2026Coming soon
tooling4 min

We built a free SQL formatter. Here's why.

A short note on tools.techedge.in, and what we're building next for data teams.

Jun 21, 2026Coming soon