Google on Monday made public an internal tool designed to shape how developers use artificial intelligence to write software, releasing the Elephant‑Goldfish Model plugin under the Apache 2.0 open source license.
What Google released
The repository includes the plugin code and configuration materials that Google says are required to implement the Elephant‑Goldfish framework. Developers will find customizable Markdown rules, defined subagent personas and structured review workflows intended to integrate with existing development environments.
- The project is available under the Apache 2.0 license.
- Google says the plugin was used internally by thousands of engineers to ship production code.
- The framework separates long‑horizon design from stateless validation to keep humans intentionally in the loop.
How the framework works
Google describes the Elephant‑Goldfish Model as a metaphor for pairing two distinct AI session types. The “Elephant” represents a context‑rich, long‑horizon session that holds an architectural vision and project memory; it focuses on design, intent and capturing micro‑decisions rather than writing code. By contrast, the “Goldfish” are stateless, zero‑context sessions used to validate specifications and act as objective critics, probing for gaps and edge cases.
Google framed the approach as a way to reduce what it called “AI slop” in code generation and to help ensure that AI produces the code developers intended on the first run.
“We are thrilled to announce the Elephant‑Goldfish Model plugin . Originally, this plugin was developed internally for Google software engineers, and is now open source. Thousands of Googlers use this plugin every day to ship production Google code.”
The company said the repository provides everything needed to adopt the framework in other environments, enabling teams to define roles for AI subagents and to enforce review workflows that keep human judgment central to development.
By open sourcing the tool, Google joins other major technology firms in making internal AI tooling available to the developer community, providing both implementation artifacts and a conceptual model intended to guide safer, more reliable AI‑assisted software development.
