Lakehouse
MotherDuck Flights: pipelines an agent can fly, and why dlt belongs in the cockpit
MotherDuck shipped agent-native Python pipelines. The obvious thing to run inside one is dlt.
Infrastructure
Posts related to hyperscalers (AWS, Azure, GCP) and pipelines (ELT/rETL, streaming, orchestration)
Infrastructure
OpenCode: a terminal coding agent without vendor lock‑in
Bring your own model, ditch the subscription.
Infrastructure
Perplexity Search as Code: letting models run the search
Why let a search engine guess what context your model needs? Perplexity's new Search as Code hands the reins to the agent.
Infrastructure
Triggering dltHub Pro pipelines from Snowflake
Moved a dlt pipeline off SPCS onto dltHub Pro. Still want Snowflake to push the button.
Infrastructure
dltHub Pro is here. So is my static-egress proxy VM.
How I kept IP‑locked Snowflake and Azure databases happy with a managed runtime that runs “wherever Python runs”
Infrastructure
On-prem AI agents: the signal in three announcements
Three vendors, one week, one direction: the cloud-only assumption for AI agents is cracking.
Snowflake
Cortex Guardrails: one boolean, one job, four it doesn’t do
A single boolean on AI_COMPLETE, a Llama Guard 3 wrapper, and a hardcoded filter string. Useful, cheap, and nowhere near enough on its own.
Lakehouse
Cortex Code skills, 90 days in: plugins, not prompts
Cortex Code stopped being “just another AI feature” the moment skills landed. In under three months they’ve become the missing glue: portable, versioned building blocks that turn NPO data stacks into repeatable agent workflows.
Infrastructure
From Orbital GPUs to Snowflake L40S: The Compute Pinch Arrives in the Warehouse
Anthropic is scrambling for GPUs, AMD is finally shipping drop‑in AI cards, and Zyphra just proved you can train real models on a full AMD stack. All of that lands in your Snowflake account the moment you run create compute pool
Lakehouse
Retiring legacy BI with an agentic-built Streamlit app on SPCS
Build-vs-buy got rewritten by agentic coding. So I retired the legacy BI tool. 😎
Infrastructure
Two AI agents, one repo: delegating Snowflake work from Claude Code to Cortex Code
Claude Code and Snowflake's Cortex Code turn out to be the same agent wearing different hats - and that's exactly what makes them worth combining. A filesystem handoff between two AI agents replaced hours of manual Snowsight clicking.
Lakehouse
Reverse-Engineering a Black-Box ERP with Claude Code
Using dlt’s AI workbench and Claude Code, I reverse‑engineered our ERP's undocumented 1,200+ table schema and produced an annotated DBML model plus ontology.