Description

Topics covered in this episode:

• GreyNoise IP Check
• tprof: a targeting profiler
• TOAD is out
• Extras
• Joke

About the show

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Michael #1: GreyNoise IP Check

• GreyNoise watches the internet's background radiation—the constant storm of scanners, bots, and probes hitting every IP address on Earth.
• Is your computer sending out bot or other bad-actor traffic? What about the myriad of devices and IoT things on your local IP?
• Heads up: If your IP has recently changed, it might not be you (false positive).

Brian #2: tprof: a targeting profiler

• Adam Johnson
• Intro blog post: Python: introducing tprof, a targeting profiler

Michael #3: TOAD is out

• Toad is a unified experience for AI in the terminal
• Front-end for AI tools such as OpenHands, Claude Code, Gemini CLI, and many more.
• Better TUI experience (e.g. @ for file context uses fuzzy search and dropdowns)
• Better prompt input (mouse, keyboard, even colored code and markdown blocks)
• Terminal within terminals (for TUI support)

Brian #4: FastAPI adds Contribution Guidelines around AI usage

• Docs commit: Add contribution instructions about LLM generated code and comments and automated tools for PRs
• Docs section: Development - Contributing : Automated Code and AI
• Great inspiration and example of how to deal with this for popular open source projects
  • “If the human effort put in a PR, e.g. writing LLM prompts, is less than the effort we would need to put to review it, please don't submit the PR.”
• With sections on
  • Closing Automated and AI PRs
  • Human Effort Denial of Service
  • Use Tools Wisely

Extras

Brian:

• Apparently Digg is back and there’s a Python Community there
• Why light-weight websites may one day save your life - Marijke LuttekesHome

Michael:

• Blog posts about Talk Python AI Integrations
  • Announcing Talk Python AI Integrations on Talk Python’s Blog
  • Blocking AI crawlers might be a bad idea on Michael’s Blog
• Already using the compile flag for faster app startup on the containers:
  • RUN --mount=type=cache,target=/root/.cache uv pip install --compile-bytecode --python /venv/bin/python
  • I think it’s speeding startup by about 1s / container.
• Biggest prompt yet? 72 pages, 11, 000

Joke: A date

• via From Pat Decker