The biggest gap today in SRE agents is missing domain knowledge. So they cannot give accurate results for oncall incident handling. I just didn't find any lightweight and suitable solution to exactly solve the problem. So I created a desktop application NeatContext. It does nothing but can let LLMs know your domain knowledge to handle the incidents right.
I built this project, which I call "The Line of Hope". It is a concept that is meant to work for any major sports league. Currently, I have it available for the NFL and MLB, and it's most fun to follow for a league currently mid-season. The idea is to show every team's record in relation to the worst ever past champion through the same number of games in the season. For example, of all past World Series champions, through 40 games, the team with the worst ever record was the 1914 Boston Braves (12-28). If a team had a record of 10-30 through 40 games, they would be considered hopeless, with a Line of Hope Index of -2. You can use this site to see where current teams stand relative to the Line of Hope and how today's games affect current teams Line of Hope index (e.g. did teams lose hope, restore hope, etc.). You can also browse a grid of data to visualize the Line of Hope. Hope you all enjoy!
by shiningpr0xsm ·
I want to show people my brainchild, which I’ve really enjoyed developing. This app is written in pure Java, and—even though it doesn’t have many features available right now—it has everything you need right at your fingertips. I’m looking for people who will appreciate this type of app and are willing to share their thoughts on it. I’d really love to get feedback on the design, potential features, what’s missing, and what’s completely unnecessary.
by wonderfuly ·
This is important, but I haven't seen enough discussion about it.
Dan Boschen developed this tool for visualizing frequency-domain content of filters using a sum-of-phasors approach.