Topic: GitHub

41 mentions · 27 chunks · 26 episodes

14.1× distinctiveness vs baseline

How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.

2.0x burst in 2026 Q2

Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.

Topic summary

A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.

GitHub appears in 27 chunks across 26 episodes, from 2024-05-27 to 2026-06-15.
Its densest episode is Bits and Bobs 9/30/24 (2024-09-30), with 2 observations on this topic.
Semantically it travels with Copilot, wild west, and Microsoft, while by chunk count it sits between ooda loop and Gemini; its yearly rank moved from #82 in 2024 to #26 in 2026.

Over time

Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.

Range2024-05-27 to 2026-06-15Mean1.0 per episodePeak2 on 2024-09-30

Observations

The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.

Showing 27 observations sorted from latest to earliest.

I've talked in the past about how chatbot UX feels wrong.

from Bits and Bobs 1/27/25 · 2025-01-27

...ne the context to get closer to what you want, to steer it better. Kind of like GitHub Copilot but where instead of tab adding a few characters, it could add whole paragraphs. Because the key command is not simply "Enter" (which would a...

o1 is not like other LLMs; it's a different type of thing.

from Bits and Bobs 9/30/24 · 2024-09-30

...rent type of thing. It's more akin to comparing whole systems/scaffolding (e.g. Github Copilot Workspaces) around a model than comparing base models. It just so happens to implement what other people have implemented as a system around ...

Just because LLMs can talk doesn't mean your app should have them talk.

from Bits and Bobs 9/30/24 · 2024-09-30

...uage thoughts and act on them... but doesn't have a personality. Spellcheck and Github Copilot are two examples. It doesn't feel like you're working with a genie, it's just instantly offering completions you can accept or not. The quest...

Anthropic's API finally added support for being directly used from the browser!

from Bits and Bobs 8/26/24 · 2024-08-26

...used from the browser! I filed a bug asking for this earlier this year: https://github.com/anthropics/anthropic-sdk-typescript/issues/248 to enable https://github.com/jkomoros/code-sprouts. This allows an architecture where the webapp i...

I saw another demo of Github's Copilot workspaces.

from Bits and Bobs 7/8/24 · 2024-07-08

I saw another demo of Github's Copilot workspaces. It allows an agent, with some continuous babysitting from a human, to plan a change, research it, then modify the necessary fil...

In the Github Copilot feedback loop, if you don't like the recommendation, write a bit more comments and it will generate a new thing.

from Bits and Bobs 7/1/24 · 2024-07-01

In the Github Copilot feedback loop, if you don't like the recommendation, write a bit more comments and it will generate a new thing. The next thing to do to stee...

A powerful technique for navigating complex problem domains: adjacency maps.

from Bits and Bobs 5/27/24 · 2024-05-27

...ing that I built a hobby open-source project around a couple years ago: https://github.com/jkomoros/adjacency-map The project allows creating a shared interactive map, and also comparing different "scenarios" (e.g. different costs and v...