OmVillkorSekretessKontakt
 
Uppdaterar
Technology Explorations in Data

Technology Explorations in Data

Släppt: 2026-04-12
© 2026 Dataminded
Technology Explorations in Data - QR Code
11 avsnitt
Ljud
Lyssna på Apple Podcasts
11 avsnitt
Ljud
Lyssna på Apple Podcasts
Släppt: 2026-04-12
© 2026 Dataminded
Senaste avsnittet
Building an AI Agent with Subagents and Skills

Building an AI Agent with Subagents and Skills

Video episode: https://www.youtube.com/watch?v=KExht8wZ2Ng Every time you ask your AI for help, it agrees. It generates ideas fast, sounds confident, and never tells you your plan has holes. That's the problem. Arete is a brainstorm agent built on Cla
Tid: 32:03
Video episode: https://www.youtube.com/watch?v=KExht8wZ2Ng
Every time you ask your AI for help, it agrees. It generates ideas fast, sounds confident, and never tells you your plan has holes. That's the problem.
Arete is a brainstorm agent built on Claude Code skills that does the opposite. It guides you through five phases — Ground, Explore, Decide, Stress, Ship — to challenge your thinking before you commit to a solution. The result: architectural decision records and implementation plans you actually own.
In this episode, Jesus demos Arete live in Claude Code, brainstorming improvements to a real skill. You'll also see how he used Arete + a Remotion skill to generate a showcase video — with zero video editing knowledge. Then: how it spawns parallel research subagents, how the Stress phase pokes holes in your design, what a real ADR output looks like, and a packed Q&A covering tokens, vendor lock-in, debugging subagents, file organization, and how to install it in Claude Code (and other tools).
Install Arete: https://github.com/jesgarram/arete
Avsnitts-ID: 1000760970793
GUID: 6e1e7870-7219-44d1-b8e8-1d8bc19ef159
Utgivningsdatum: 2026-04-12 21:00:04

Beskrivning

Deep dives and practical demos on the technologies shaping modern data and AI development. Join the Dataminded team as they explore, unbox, and critically review the latest tools, from building AI agents and RAG systems to optimizing cloud costs and accelerating data pipelines. We cut through the hype to show you what actually works in real data engineering practice.

Apple Podcasts: Kundrecensioner

Ingen post