DNSimple has a CLI! Carl and Richard talk to DNSimple CEO Anthony Eden about the evolution of the DNSimple CLI in today's software market. DNSimple provides DNS, domain registrar, and certificate services - so why does it need a CLI? Anthony talks about earlier experiments with CLIs for folks who didn't want to use the web interface. But today, large language models change the game and work best with a CLI - those specific commands mean more accurate results from LLMs, which make for a powerful

Agent loops, release automation, dry-run simulations, multi-model harnesses, skills vs MCPs, and enterprise permissions for agentic workflows.

Supply chain attacks, AWS CodeArtifact, agentic workflows, auto mode sandboxing, and local memory systems with Hermes agent.

Otw to AI Native devcon, you can view the videos @tessl-ai

Chapters00:00 Coffee and Casual Conversations 02:53 Automation in Cloud Infrastructure 06:07 Navigating Complex Repositories 08:58 The Role of Jira in Development 11:58 Ad Hoc Workflows and Planning 15:01 Using Work Trees for Parallel Development 17:55 Attribution and AI in Development 21:02 Managing PRs and Workflows 24:06 Productivity with Cloud Code and AWS Vault 27:17 Exploring AWS CLI and Vault Integration 30:51 AI in Workflow Automation 32:49 The Cost of AI and Token Management 36:01

What settings, configurations, and workflows do you use for every .NET app? Carl and Richard talk to Scott Sauber about his list - from organizing folders by feature, to logging, security, and testing. Scott talks about enforcing rules like treating warnings as errors so you won't ignore important warnings, and validation in the build, to make applications more reliable. Each of these items represents some work, but in the end, your application will be higher quality and more reliable. Which ones

Large Language Models can generate a lot of text - but is it any good? Carl and Richard talk to Vishwas Lele about his ongoing efforts at pWin.ai to build tools for responding to government RFPs. Vishwas focuses on the quality problem - both the quality of the incoming RFP and the quality of the responding proposal. How do you determine the key requirements of an RFP reliably? And when it comes to the response, how do you provide measurable results for a response? The conversation digs into a change

My first spec kit (SDD) project: https://github.com/kaihendry/ai-check-guardrailshttps://github.com/github/spec-kit 0:00 - Introduction to Certification Challenges 0:20 - Experience with Microsoft SQL Server Certification 0:46 - Discussion on Corporate Certification Requirements 1:06 - Trust Issues with Certifications 1:35 - Learning from Exam Questions 1:59 - Security Events Data Management 2:26 - Setting Up Kinesis Stream Endpoints 2:51 - Slack Notification for Unusual Activity 3:14 - Security

In this demo, I explain how to choose your preferred reading input and output table, and then have a bit of a play around with the Braille Editor, and Word.

https://dabase.com/podcast/https://link.excalidraw.com/l/cQESkNUilU/9R9YETcpHcG

Along with mentioning the KeySoft Options menu, KeySoft Control Centre, and the NvDA categories screen (also accessed via the Options menu), before getting on to the handy keyboard commands, I give you a quick run through of the Quick Settings screen.handy keyboard commands Stop speech BackSpace Enter great if modifier keys disabled or Control. If in computer Braille: add space to commands. Backspace: Backspace (key 7. Enter: Enter (key 8). Escape: Escape key. Delete: delete key. Move cursor to

In this demo, how to access the Main Menu Options, KeySoft Control Centre, and how to exit the Main Menu By the way two things I slightly forgot to say key 7 and 8 to the left and right of the Perkins 6 key keyboard, and the all 8 dots is not the end of the menu, its to show that the item is a folder: whoops, but I explain both in the demo.

Recorded live at the Tavern Hall in Bellevue during the Party with Palermo for the MVP Summit, it's episode 2000! Carl and Richard take questions from the audience and play clips from past guests and listeners about their experiences with .NET, and the role that .NET Rocks has played in their careers. After two thousand shows, there are lots of stories, and plenty to celebrate. Thanks for listening!

https://dabase.com/podcast/Chapters 00:00 Labor Day and Global Holidays 19:10 AI and the Future of Work 22:05 AI's Efficacy and Control 24:48 AI's Role in Development 27:25 Community Feedback and Expectations 30:05 The Impact of AI on Business 32:33 Maintaining AI-Driven Projects 35:11 The Evolution of AI Models 37:57 Navigating AI's Challenges 40:39 Future of AI and User Experience 45:37 Enhancing Workflow with Spec Logic 47:10 The Role of Adversarial Review Agents 49:46 Balancing Context and Task

Tim Bird of Sony joins us on Space Grade Linux (SGL) — the ELISA-incubated project bringing embedded Linux to spacecraft. We cover the meta-sgl Yocto layer, fault-tolerant file systems, QEMU radiation simulation, fleet OTA updates, and how Linux already dominates on-orbit compute via Starlink.

The Y2K bug turned out to be a non-event on January 1, 2000. How did that happen? Carl and Richard bring together a number of stories from folks who were there, fixing the software and updating systems, so effectively that, ultimately, nothing much happened when the clocks rolled over. It was common practice with early software to only store two digits worth of year - back then, storage space was at a premium. For years, there had been warnings about fixing these problems, but by 1999, it was

https://github.com/anthropics/claude-quickstarts/blob/main/autonomous-coding/prompts/app_spec.txthttps://dabase.com/blog/2026/ai-engineer-europe/ https://cmd-ctrl.ai/ 0:00 - Introduction and Camera Setup 0:11 - Opus 4.7 and Android News 1:06 - Caching and Performance Issues 3:09 - Anthropic API Key Concerns 4:08 - AI Engineer Conference Insights 6:36 - Claude Code Desktop App Features 8:07 - Command-Control App Overview 9:30 - Security and API Key Management 21:27 - Rust Ecosystem and Left-Pad

Show notes: https://docs.google.com/document/d/1zoc-0L1o1Cyxtgatb9fN_ZGBGbshZIb9BTzwEj0C4Gc/edit?usp=sharing

How do you make your agents more knowledgeable about your company data? Carl and Richard talk to Ed Charbeneau about Progress Agentic RAG-as-a-Service, using NucliaDB as a vector data store to organize your company information into a form an agent can work with efficiently. Ed talks about the various approaches available today for providing timely company data to agents and the power of a dedicated data store and service model so that you spend less time on plumbing and more time building a great