AI Infrastructure
A podcast about Infrastructure & AI engineering techniques
40 episodes
latest
weekly cadence
English language
https://dabase.com/podcast/index.xml
Episodes
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A podcast about Infrastructure & AI engineering techniques
Reading the feed…
Is the terminal becoming the IDE, or is the IDE becoming an agent? Kai has spent two days living in Orca, a terminal-shaped harness that runs Claude Code, Codex and friends side by side, with worktrees, a diff pager you can comment on, and a mobile app that talks to your laptop over your own LAN.
This episode is a conversational walkthrough of Kiro Crew (an AWS-hosted agent gateway and dashboard), how it uses the agent client protocol (ACP), what running and extending it looks like, and practical lessons about memory, embeddings, deployment and costs.
Quick take: a technical conversation about infrastructure-as-code, emerging frameworks, and using AI agents to automate and benchmark cloud operations.
For vulnerability management https://www.invicti.com/ previously known as https://kondukto.io/ was what I was referring to!
https://github.com/kaihendry/members.cardinhamsports.org/commits/main/ is a demonstration of using https://github.com/kaihendry/sloc-sensor
Join us as we dive into the world of AI agents and their impact on productivity! In this video, we discuss the challenges and innovations surrounding AI tools like Claude and Hermes, and how they can revolutionize your workflow.
This is a wide-ranging conversation about building, running and governing AI agents for developer workflows: live anecdotes about agent wins and failures, how agents can run deterministic tooling versus exploratory simulations, security and CI/CD implications, choices between skills and managed...
This episode is a wide-ranging conversation about how AI and agents are reshaping security, supply-chain risk, developer workflows and tool choices.
Otw to AI Native devcon, you can view the videos @tessl-ai
Chapters
My first spec kit (SDD) project: https://github.com/kaihendry/ai-check-guardrails
This is a recorded conversation about rebuilding Spec Ledger and how teams should integrate AI agents safely into developer workflows: architecture choices (Golang CLI, Vercel/NextJS frontend → monorepo + open backend), skills registries, agent-triggered commits that capture session transcripts...
Chapters
A long, wide-ranging conversation that rolls through current model-ops pain points (Anthropic/Claude caching, plan limits and account terminations), context and session management tactics, practical agent tooling (desktop apps, remote control, command-control), security and supply-chain trouble...
from a London bus and Vincent in Vietnam! Kai is attending https://www.ai.engineer/europe/schedule
Show notes: https://docs.google.com/document/d/1zoc-0L1o1Cyxtgatb9fNZGBGbshZIb9BTzwEj0C4Gc/edit?usp=sharing
Show notes: https://docs.google.com/document/d/1zoc-0L1o1Cyxtgatb9fNZGBGbshZIb9BTzwEj0C4Gc/edit?tab=t.0
Show notes: https://docs.google.com/document/d/1zoc-0L1o1Cyxtgatb9fNZGBGbshZIb9BTzwEj0C4Gc/edit?tab=t.0heading=h.ulxx2eqh7qsr
https://dabase.com/podcast/ for a summary
Show notes: https://docs.google.com/document/d/1zoc-0L1o1Cyxtgatb9fNZGBGbshZIb9BTzwEj0C4Gc/edit?tab=t.0 https://dabase.com/podcast/ for a summary
The elephant in the room is Jira. How can we adopt AI in a structured way in an Enterprise?
Do please Rate and share to keep us rewarded / motivated to share! Show notes: https://docs.google.com/document/d/1zoc-0L1o1Cyxtgatb9fNZGBGbshZIb9BTzwEj0C4Gc/edit?tab=t.0
Previous 2025 vlog: https://youtu.be/QQB6juzzIZU?si=5mrQiox8ds0ENp2 I'll add more links as I find a decent internet connection!
I demonstrate https://clawd.bot/ & WhatsApp integration. We touch how type checking is not done enough in Python https://docs.astral.sh/ty/ We speculate what's the "Next big thing" in Infrastructure... better state management with https://stategraph.com/?
Kai Hendry and Vincent discuss the evolving landscape of AI infrastructure engineering, focusing on how large language models (LLMs) are shifting the definition of seniority from manual coding to orchestration and strategic thinking.
