How Preset Keeps Apache Superset Healthy With AI-Driven Issue Triage
Discover how Preset uses Dosu’s AI to automate GitHub issue triage for Apache Superset, reducing maintainer workload and speeding up community support.
Insights, updates, and best practices from the Dosu AI teammate for developers. Stay up to date with the latest features, tips, and industry trends.
Discover how Preset uses Dosu’s AI to automate GitHub issue triage for Apache Superset, reducing maintainer workload and speeding up community support.
Discover how Lodash’s issue backlog highlights open source burnout and learn how Dosu’s AI tools help maintainers manage OSS projects efficiently.
Discover how AI automation frees developers from maintenance tasks, boosts productivity, and transforms documentation and support workflows.
Learn how to create effective documentation by focusing on your audience first. Discover the key differences between internal and external docs and practical strategies for both.
Dosu was recently featured in GitHub’s new Awesome Continuous AI list, both in the Continuous Triage and Continuous Documentation sections. Given that, we thought it’d be a good occasion to talk about how Dosu embodies the idea of Continuous AI and why we’re really bullish on the concept.
People have dreamed of living documentation–documentation that evolves as fast as your code–for decades but human bandwidth to review and update documentation has always been the bottleneck. Now with AI, we have a way to couple written knowledge to code and get the best of both worlds: easy to understand documentation that evolves with your code.
June Dosu Drop: One-click documentation, @ mentions, improved code reasoning, and the new fact-based reasoning agent now GA. Building the future of automated knowledge management.
Dosu's new fact-based reasoning agent is now generally available, featuring smarter problem-solving, customizable behavior controls, and improved knowledge management for development teams.
How Dosu uses distributed dependency injection to improve agent testing and reliability.
Learn how to measure and improve your documentation ROI with these 7 data-driven checks.
Learn how to add Pydantic support to Celery tasks with minimal friction using preserializers.
Discover why comprehensive documentation is now essential for AI-powered development teams and how it can transform your engineering productivity in the age of intelligent automation.
Introducing Dosu's new fact-based reasoning agent, self-serve pricing, and a fresh new look in our May 2025 update.
Let’s get this out of the way: no one gets into software because they love writing documentation.
April 2025 updates from Dosu - focusing on documentation automation and improvements.
How automation can help combat open source maintainer burnout and improve project sustainability.
Learn how to automate GitHub issue triage to improve maintainer productivity and reduce burnout.
March 2025 updates from Dosu - introducing new features and community insights.
February 2025 updates: Introducing Spaces - share data sources across channels, plus new preview generation and inbox features for better team collaboration with Dosu.
Best practices for labeling issues and pull requests in open source projects.
There are many techniques for “teaching” LLMs to improve their performance on specific tasks. The most common are:
How to improve LLM reliability through evaluation-driven development practices.
How to build reliable data orchestration systems for AI applications.