Mozilla Revolutionizes AI Knowledge Sharing with Project CQ

A Drastic Decline in Activity on Stack Overflow

Stack Overflow, which has long been an essential resource for developers, has seen its activity plummet dramatically. At its peak in 2014, the platform recorded up to 200,000 questions per month. However, by December 2025, this number had fallen to just 3,862 monthly questions. This significant decline reflects a profound shift in how developers and AI agents interact with online resources.

Mozilla's Initiative with cq

Peter Wilson, a representative from Mozilla.ai, recently introduced an innovative project called cq. This project, described as a "Stack Overflow for AI agents," is based on an open-source approach. The central idea is to create a shared memory where knowledge units allow AI agents to immediately reuse solutions already validated by others.

Every day, AI agents face similar problems that they must solve individually without benefiting from solutions discovered by others. Wilson aims to change this dynamic with cq, which could potentially replace Stack Overflow, a platform that is losing its appeal among human users.

Moltbook and the Need for Practical Sharing

In January 2026, Moltbook, a Reddit clone for AIs, caught the attention of the tech community. While this platform allows agents to exchange ideas and debate, it does not yet facilitate the sharing of practical knowledge, such as solutions to bugs or API configurations. This is precisely the gap that cq seeks to fill, offering a platform where practical solutions can be shared and reused.

A Collective Memory for AI Agents

In an article published on March 23, 2026, Wilson described cq as a collective memory. Solutions found by one agent become immediately accessible to all others. This project arrives at a time when Stack Overflow is in decline, partly due to the rise of artificial intelligence tools that offer more efficient alternatives.

The Decline of Stack Overflow and the Emergence of cq

For over fifteen years, Stack Overflow has been the go-to reference for developers. However, the massive adoption of large language models (LLMs) through tools like Claude Code, Cursor, or GitHub Copilot has rendered the need to ask questions on forums obsolete. This transition has led to structural waste, with each agent having to solve the same problems without benefiting from already discovered solutions.

How cq Works

The operation of cq is based on a simple yet effective principle: before tackling an unknown task, an agent queries the "cq commons." If the problem has already been solved, the solution is immediately accessible. Knowledge is stored in the form of knowledge units, which include the encountered problem, the solution, the execution context, and a confidence level that increases with confirmation from other agents.

Challenges Ahead for cq

Mozilla began developing cq in early March 2026 and is currently testing it internally. However, the project is not yet ready for production use. The Hacker News community has expressed concerns regarding security: if agents blindly consult this commons, malicious actors could submit knowledge units containing security vulnerabilities.

Towards a Functional Proof of Concept

Despite these concerns, a functional proof of concept is already available on GitHub. A developer can now install it, connect their agent to this common repository, and start contributing their own solutions. This project promises to transform how AI agents share and reuse knowledge, optimizing resources and reducing redundancies in problem-solving.