#data-engineering

Articles tagged with #data-engineering

4 Blind Spots of General Coding Agents in Data Engineering
Three different experiments running Claude Code revealing four common blind spots every data engineer should be looking out for.
Jul 6, 202610 min read13
Where AI Agents Belong in Data Engineering: The Correctness Layer
A deterministic harness for reproducible, cacheable results — sitting between a probabilistic agent on top and a deterministic core underneath.
Jun 29, 202613 min read176
DeepSeek Cost 62% Less Than Claude. The Surprising Part Wasn't the Savings…
If you're running an AI agent on data (pipeline diagnostics, schema exploration, ad-hoc SQL, lineage queries), you've looked at the model bill and asked the same question we did: "The cheaper model o
Jun 10, 202615 min read45
The Correctness Layer
We started altimate-code with one goal: build a harness that data engineers could actually trust with their pipelines and platforms. The first thing that became clear is that LLMs are the wrong tool f
May 20, 202619 min read230
Blast Radius Analysis Using Altimate Code
What is Blast Radius Blast radius refers to the potential extent of damage. For example, before you knock down a wall in your house, you want to know if there's plumbing behind it, electrical wiring w
May 18, 20269 min read17
We built AI that actually works for data engineering. We crushed the ADE benchmark.
tl;dr : Today, we are launching Altimate Code, an open-source agentic data engineering harness that far exceeds generic LLMs (and other leading models) on data engineering tasks. Check out the project
Mar 19, 20266 min read535