Currently working on a 7-8yr old Python monolith with 500k LOC and overall it’s been far less painful than it would be if it hadn’t been for the gradual adoption of typing and strict mypy configuration.
The introduction of types has supercharged PyCharm which is already rather powerful at inference so refactoring and exploration has been rather easy.
The villain of the story here was not dynamic typing as much as it was the usage of Python dictionaries as a data interchange format where no amount of typing or IDE smartness can untangle that mess. We’ve been slowly replacing dictionaries with models, eg pydantic, which brings a massive quality of life improvement but it’s been arduous and error-prone.
All in all Python gives you all the tools needed to create a coherent codebase regardless of size but that requires disciplined engineering and a commitment to incremental improvements.
Personally I’ve been using a similar approach for over a decade where I have 9 desktops on my Mac most of which have fixed windows on them eg 1 for a file explorer, 2 for mail, 3 for browser, 4 and 5 for IDEs, 6 for related tooling, 7 for notes and maybe another browser window, 8 for music, and 9 for chat windows and I switch between them with Ctrl+<number>. On top of all of them desktops I can Ctrl+Space the terminal (Quake style, Warp now, used to be iTerm) and Alt+Space for Raycast (used to be Alfred). This was I rarely if ever need to Cmd+Tab since everything is fixed in place most of the time.
Really like it and kudos on launching. Copying GH permalinks to sections of code is something I do about 30 times a day to augment my Slack posts, GH issues, personal notes, Confluence documentation, etc.
I gotta say though, I don't know that I'd trust CodeLink to be around 1-2 years down the track and if it's not then all that work will be far less valuable without the code being accessible through links that will no longer function. I truly hope this project gets traction and becomes a mainstay but until it does I couldn't see myself adopting it.
Admittedly poor performance has been my primary gripe in the 7mos I’ve been using LogSeq on a near-daily basis. I dunno whether the issue stems from the usage of Electron or if text-graphs are really so heavy even an M1 can’t cope but personally I’d gladly pay for a freaking subscription if it meant I could navigate between pages without a very noticeable lag
I suppose if you never revisit your own notes then yes, there’s no value in these systems.
Personally I find myself revisiting old notes rather often for a variety of reasons:
- writing annual feedback reports on my peers: by taking brief notes in LogSeq journals tagged with their names I can quickly accumulate feedback on how they did over the year or things they could improve
- the above applies to self-assessments which are often required when asking for a raise or promotion in a “ok why? What did you achieve this year?”
- solving issues specific to my workplace and workflows: while Google and StackOverflow will likely cover 90% of issues you have an arguably there’s no much value in writing about those solutions I often encounter problems specific to my workplace’s infrastructure or services. Taking notes and writing snippets on those is something I often revisit
Top of my head the above reasons make the process worth it for me
I used Alfred for years and never thought I’d find a viable replacement for it but Raycast has completely replaced it for me in the past year. The ‘Schedule’ integration with the single-key to launch the video conference functionality is top notch. Other dev-targeting integrations like GitHub are also fantastic and unlike with Alfred I don’t have to use a dozen extensions with forgettable shorthand commands so unless the other shoe drops and Raycast ends up introducing some over the top subscription-based pricing model I don’t see me ever going back to Alfred
I had this idea a couple years back for an app that allows eg a parent to write a short story and have some sort of GAN generate the illustrations for it (hopefully with the ability to include images of a child that would be used to include them as a character in the story). Monetisation would come from charging to create a hardcover print of the book.
Some research at the time showed that the publicly available models just weren’t there so I was very excited to hear about DALL-E 2 a couple months back as the idea was suddenly far more feasible but it seems someone else will beat me to it long before I even get access to DALL-E 2
I’ve been evaluating the Warp terminal emulator as an alternative to iTerm on macOS for a couple months now and they have included a very similar feature to turn an NLP input to a shell command [0].
While for most of my work I’ll shamelessly fall back to Python scripts, basic operations that don’t warrant a script but still require tools like awk, sed, etc that I never learned have greatly benefited from this little tool. I found it far faster than combing through 3-4 StackOverflow answers and hodgepodging my solution together