Today, we deployed our latest updates to Ohloh.
Issues addressed
- Conducted additional investigations (e.g. “Spikes”) into improving Ohloh’s data quality issues. Spikes allow development teams to figure out what is needed to implement a feature or fix an issue by breaking it down into incremental steps and estimating the cost of those steps. A spike is pure investigation work, meaning nothing is implemented at that time.
- Created a release page to document deployment history moving forward
- Fixed performance issues with Kudos calculations. Kudos calculations are back up and running.
