Blog
The software diversity card: reporting diversity of software projects
In a world with thousands of software projects launched daily, the Software Diversity Card offers a practical framework for reporting the people, roles, and communities behind a project. It encourages transparency and inclusion as core parts of software documentation and evaluation.
Governance as Code (GaC)
In the emerging world of human–agent collaboration, “implicit rules” are no longer enough. . If we want safe, scalable, and trustworthy collaboration, governance must become explicit, precise, and executable. In short: it’s time for Governance as Code.
Exploring the Evolution of the Top 25 GitHub Projects
We revisit the top 25 projects in GitHub. Did you know no software project makes the top 10?
GitHub Stargazer – Get alerts on your phone when somebody stars your project
Instead of checking GitHub for new notifications, let GitHub alert you every time someone stars one of your projects. See how you can do it with one of our agents.
Three laws of software agents by Isaac Asimov (kind of)
Reimagining the three laws of robotics for the growing number of software agents
From Bots to Agents: a new open source Agentic Framework
Discover a new open source and python based agentic framework where agents can be built using a variety of complementary techniques (state machines, NLP, RAG, LLMs) and talk to each other
Is Hugging Face Hub a good source of data for empirical studies on ML development?
Learning how machine learning projects are developed based on the empirical analysis of hugging face hub data
Who will develop the apps of the future? (hint: it’s not going to be a team of human programmers)
If you can imagine your dreamed software application, you can build it via a combination of no-code, low-code, open source and AI techniques
Creating Representative Samples of Software Repositories
Software repositories are one of the main sources of data for empirical software engineering. Choosing the right sample for your study is key. We create such sample for you.
How to use LLMs and RAG in a chatbot?
A great chatbot combines intent-based techniques for “can’t be wrong” questions together with RAG and LLMs techniques for more open, exploratory, questions
Automatic Generation of Conversational Interfaces for Tabular Data Analysis
Conversational User Interfaces (CUIs) such as chatbots and voicebots could improve the accessibility of tabular data. We are now introducing a scalable, no-code tool that automatically creates chatbots for tabular data based on a schema inferred from the data itself.