IndieWeb post types

This content type is full of IndieWeb post types, which are all content types which allow me to take greater ownership of my own data. These are likely unrelated to my blog posts. You can find a better breakdown by actual post kind below:

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Listened to Open Source Security: Ecosyste.ms with Andrew Nesbitt
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I recently chatted with Andrew Nesbitt about his project, Ecosyste.ms. Ecosyste.ms catalogs open source projects by tracking packages, dependencies, repositories, and more. With this dataset Andrew is able to incredible insights into the world of open source. We chat all about how Ecosyste.ms works and how he manages to wrangle all this data. The show notes and blog post for this episode can be found at

by Jamie Tanna's profile image Jamie Tanna .

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Listened to Ep 200: Ed Gamble and James Acaster (with special guest genie Rylan Clark) | Off Menu with Ed Gamble and James Acaster
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Listen to Ep 200: Ed Gamble and James Acaster (with special guest genie Rylan Clark) from Off Menu with Ed Gamble and James Acaster. As we round off another hundo, it’s time to flip the table once again and make Ed and James the guest diners in the dream restaurant. Have their choices changed over the last 100 episodes? And will they exploit as many loopholes as their first attempt? And, once again, the genie is transferring his powers to one of our favourite guests from the last century, Rylan Clark!A massive thanks to Rylan for being our guest genie. A huge thank you to you all for listening to our stupid podcast over the last 200 episodes. And an extra special thanks, as per, to No Context Off Menu, for memeing the heck out of us (follow them @nocontxtoffmenu). Recorded by and edited by Ben Williams for Plosive.Artwork by Paul Gilbey (photography and design) and Amy Browne (illustrations).Follow Off Menu on Twitter and Instagram: @offmenuofficial.And go to our website www.offmenupodcast.co.uk for a list of restaurants recommended on the show.Watch Ed and James's YouTube series 'Just Puddings'. Watch here.

by Jamie Tanna's profile image Jamie Tanna .

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Listened to SEV0 2024 | Organization-aware incident response
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See why organizational awareness is an incident superpower with incident.io Product Engineer Lawrence Jones. Lawrence discusses the importance of leveraging organizational context during incident response. He emphasizes using structured data and service catalogs to enhance incident management by bringing valuable organizational knowledge directly to responders.

by Jamie Tanna's profile image Jamie Tanna .

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Listened to incident.io's Lawrence Jones on Building AI That Automatically Investigates Technical Outages | AI Adoption Playbook by PodBean Development 
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When technical systems fail at companies like Netflix or Etsy, every minute of downtime can cost millions. That's why incident.io is building AI systems that can automatically investigate and diagnose technical problems faster than human engineers. In this episode of The AI Adoption Playbook, Lawrence Jones, Product Engineer at incident.io, tells Ravin how they're creating an automated incident investigator that can analyze logs, traces, and metrics to determine what went wrong during an outage. He shares their methodical approach to AI development, focusing on measurable progress through evaluation metrics and scorecards rather than intuitive "vibe-based" changes. Lawrence also discusses the evolution of their AI teams and roles, including their newly launched AI Engineer position designed specifically for the unique challenges of AI development, and how they use LLMs themselves to evaluate AI system performance. Topics discussed: Building an AI incident investigator that can automatically analyze logs, traces, and metrics to determine the root cause of technical outages. Creating comprehensive evaluation frameworks with scorecards and metrics to measure AI performance against historical incident data. Using LLMs as evaluators to determine if AI responses were helpful by analyzing post-incident conversations and user feedback. Developing internal tooling that enables teams to rapidly test and improve AI systems while maintaining quality standards. Evolving from individual "vibe-based" AI development to team-based systematic improvement with clear metrics for success. Structuring AI engineering roles and teams to balance product engineering skills with specialized AI development knowledge. Implementing product-focused AI features like chatbots that can help automate routine tasks during incident response. Leveraging parallel human and AI processes to collect validation data and improve AI system performance over time. Building versus buying AI evaluation tools and the advantages of custom solutions integrated with existing product data. Exploring the future of AI in technical operations and whether AI will enhance or replace human roles in incident management. Listen to more episodes:  Apple  Spotify  YouTube

by Jamie Tanna's profile image Jamie Tanna .

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Listened to Open Source Security: Curl vs AI with Daniel Stenberg
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Daniel Stenberg, the maintainer of Curl, discusses the increase in AI security reports that are wasting the time of maintainers. We discuss Curl's new policy of banning the bad actors while establishing some pretty sane AI usage guidelines. We chat about how this low-effort, high-impact abuse pattern is a denial-of-service attack on the curl project (and other open source projects too). The show notes and blog post for this episode can be found at

by Jamie Tanna's profile image Jamie Tanna .

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That's similar to how my site is done - I also make per-post licensing clear (as I have some posts with different licenses)

by Jamie Tanna's profile image Jamie Tanna .