I'm a tab hoarder and I would like to keep my tab count under control. How do I do that?
In January 2015 I wrote an extension for Chrome that allowed me to track how many tabs I had open. I called it the Chrome tabs count extension. It displays the number of currently opened tabs in the extension bar and when you click on the extension button itself, a chart is displayed with shows the tabs and windows count at each point a tab was opened/closed. This allows you to see the patterns of tabs creation/closing you have.
Such a tool will not help you reduce your tab count, but awareness is the first step toward reducing the number of tabs you have open at all times.
The second step is to taper (slowly reduce) the number of tabs you have open at all times. My strategy has been to reduce by 10 tabs each week the maximum number of tabs I had open. I started with over 160 tabs and I am now at 100 tabs after 6 weeks. I use the Loop Habit Tracker app to set up a daily reminder to make sure my tabs count is under the limit specified for this week and I try as hard as possible to finish the day with the number of tabs open below or at this limit.
What are the signs of a healthy software company?
The following signs are defined assuming a web development software company.
- Projects are completed on time and under budget.
- Development is supported by continuous integration practices.
- Tests are written for the code developed.
- The different stages of development are not rushed so that coding happens as soon as possible.
- Projects are put in production and monitored.
- Events requiring intervention in production are handled without the presence of a large amount of stress.
- Employees have time to share their knowledge of the codebase with one another.
- Code is reviewed before being merged into the master branch.
- Version control is used.
- Processes are documented, followed, and updated when necessary.
- Traceability is possible from clients' requests to their deployment in a live environment.
- Most of the system has been designed beforehand and only minor sections of the design need to be updated during the sprint iterations.
- Priorities have been established and are well documented.
I have taken a lot of pictures and I'd like to see where they were taken on a map. I also don't want to have to upload those pictures to a server or download some software.
I've developed a simple tool called Photo geolocation which is a small client-side application. It uses leaflet to display the images on an OpenStreetMap map. The EXIF image metadata is extracted from the image by reading the image data using exif.js. From the EXIF image metadata we extract the GPS coordinates, which are then used to place a pin on the map at the appropriate location. It is possible to click on the pin to see what picture was taken at the provided location.
To use the tool, simply go to the website and drag and drop your images on the page. The images will be read by your browser, the EXIF image metadata read directly by the browser (nothing being sent to a server). The images with GPS coordinates will have a pin displayed on the map at the location they were taken, while those that do not have GPS coordinates will be simply logged to the browser console and not displayed.
How can you keep a website up to date and yet have previous visitors recognize new content as fast as possible?
As I am a developer, what is the most straightforward answer to this problem is to use a tool such as diff. When I write articles on my blog, I use Visual Studio Code which I have configured to save on window getting out of focus (or the current tab of the editor being changed). With this save event, I also create a git commit automatically with a very boring message "Automated save from VS Code.". The point is not to have a fancy commit message, but to have a trace of when the changes where made. This allows me to offer to my visitors the ability to view the history of changes that were done to an article.
The downside to this approach is that it is not very easy to diff the article between two versions using the github web UI. It requires manually playing around the url, to provide the base and latest article SHA1 hash and to find the article in the list of files changed, which makes the experience rather painful and likely to lead nobody to do it.
Given that the git repository is available on my server where the blog is hosted, it would be possible for me to run a
git diff command provided the last version seen by the visitor. This would allow me to present the changes that were done since the visitor last came. For instance, removal of sentences would be simply not displayed as removed since it is likely to be irrelevant to the visitor, however new sentences would be highlighted in green.
I write a lot of articles and I want them to be understood by most people. How do I use the most common language possible?
My approach is to write whatever I want to write about using whatever language I come up with first. Then I use a tool I've developed which I've called the vocabulary gradient. It is a very simple tool where you will generally copy and paste the article you've written and look at the result of the analysis. The tool uses a word frequency list as specified in the README.md. This list was built using the Project Gutenberg library, which makes the word frequency list a bit outdated.
The report generated by the tool presents the minimum, average, maximum and standard deviation of the index of the words used in the text you provided. Those numbers give you a rough overview of the difficulty of your text based on word frequency alone. The lower your average and maximum is, the simpler the article should be to understand An histogram is also generated, where the bins are based again on the index of the word in the frequency list. Finally, the provided text is rendered with each word index as a subscript. Words that are unknown are highlighted in yellow, while words for which the index is high are shaded with a darker shade of gray as their index increases.
With this information in hand, you can spot the words that have high word frequency indexes and try to replace them with lower index words.