← Back to search
30
Basic
Agentic Readiness Score
other llms-txt

Agentic Signals

📄
Found
🤖
ai-plugin.json
Not found
📖
OpenAPI Spec
Not found
🔗
Structured API
Not found
🛡
Not specified
🏷
Schema.org Markup
Found
MCP Server
Not found

Embed this badge

Show off your agentic readiness — the badge auto-updates when your score changes.

Agentic Ready 30/100

            

llms.txt Content

# Michael Kennedy's Blog > Personal technology blog by Michael Kennedy — PSF Fellow, host of > [Talk Python To Me](https://talkpython.fm) (the 2nd most popular > developer podcast), co-host of [Python Bytes](https://pythonbytes.fm), > and founder of [Talk Python Training](https://training.talkpython.fm). > Short essays on Python, AI, developer tools, web architecture, DevOps, > performance, and open source. Published at https://mkennedy.codes/. ## About Michael Michael Kennedy is a Python enthusiast and PSF Fellow based in Portland, OR. He hosts Talk Python To Me and co-hosts Python Bytes, two of the most widely-listened developer podcasts. He is also the founder of Talk Python Training, one of the largest Python course libraries on the internet (275+ hours across 55+ courses by 10+ authors). He is an open source developer and frequent conference speaker. - [About page](https://mkennedy.codes/about/) - [GitHub](https://github.com/mikeckennedy) - [YouTube](https://www.youtube.com/@mikeckennedy) - [Bluesky](https://bsky.app/profile/mkennedy.codes) - [Mastodon](https://fosstodon.org/@mkennedy) - [LinkedIn](https://www.linkedin.com/in/mkennedy/) ## Site Sections - [Posts](https://mkennedy.codes/posts/): All blog posts (short essays and discoveries) - [Topics](https://mkennedy.codes/topics/): Tag cloud of all topics covered - [Tools](https://mkennedy.codes/tools/): Open source tools built by Michael - [RSS Feed](https://mkennedy.codes/posts/index.xml): Full RSS feed of all posts ## Agentic AI Engineering Enablement Michael offers on-site, hands-on AI engineering enablement for software teams. This is a 3–4 day practitioner-led engagement where developers work on their actual codebase with AI tools, guided by someone who has shipped real products this way. Not slides and theory — real pairing, real code, real results. - **Day 1 — AI Engineering Foundations** (full dev team): Shared understanding of agentic AI engineering, prompting patterns, spec-driven w