Blog
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Data teams should own the AI context layer
Querying data through AI agents requires context. Who is responsible?
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Agents need a memory. The Beads issue tracker is that
Beads provides memory and issue tracking for AI agents, fueling better performance without vendor lock-in.
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Why your data team hasn't 10xed productivity yet
Founders and data leads are hearing about huge AI productivity gains and wondering how to replicate that internally.
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The K-shaped AI economy and why SMBs have been left behind in the AI age
Big names in tech like Stripe and Uber have sophisticated software factories. Many businesses are struggling to find basic wins.
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dbt Wizard review
What is the dbt Wizard from dbt Labs? Should you switch from Claude Code or Codex?
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Should data analysts learn dbt?
Many claim that data analysts should focus on stakeholder-facing activities instead of technical work. Here's why that's a trap.
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Introducing the DataRoles.dev job board
Stay up-to-date on who's hiring for new data roles. A free tool for the community.
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How to make your first data hire
A practical guide to choosing the right data role, seniority level, and archetype for your company's first data hire.
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How to shop for your data stack
A practical guide to the tools you need—and don't need—when building your startup's data infrastructure.
Jacob Adler