Google engineers open-source EGM agent dev workflow
10/27/2026 — 10/27, 12:18·1 sources (all)·1 reports (all)
Key takeaways
- A Google engineer detailed on DEV Community the open-sourcing of the Elephant-Goldfish Model (EGM), an AI agent software workflow built by a…
Background & analysis
On October 27, 2026, a Google employee posted on DEV Community describing Elephant-Goldfish Model (EGM), an open-source workflow for building software with AI agents that they have been developing with a small group at Google. According to the author, the workflow starts from a feature you want to build and helps you talk the idea through, write a design document, get independent reviews, and work through the findings. As you build, it can also check where the code has drifted from the design. The author explains the motivation behind it: a long conversation with a coding agent can make a plan feel settled, because the agent already knows what you meant, but a fresh reviewer still has to understand what you actually wrote. To address this, the agent that helps you draft keeps your project context, while separate reviewers read the design and relevant materials before giving their feedback.
The author states that thousands of Googlers already use EGM. No benchmark results or evaluation data were provided in the post. No further coverage of the project has appeared since, so the current picture rests on the author's own account, with both the adoption figure and the absence of benchmarks remaining unverified.
AI-generated from 1 reports · updated 22 hours ago
- Heat index
- 53
- All sources
- 1
- All reports
- 1
- First seen
- 22 hours ago
Reports on this story headlines open the original
A Google engineer has open-sourced Elephant-Goldfish Model, a workflow for building software with AI agents that walks through exploring an idea, writing a design, collecting independent reviews, resolving findings, and checking whether code has drifted from the design. The author says thousands of Googlers already use it, though no benchmark results were shared.
DEV Community · AIAI score 57
Other stories people are talking about
- Heat index 61Tutorial: Estimating API costs for AI agent workflows1 sources
- Heat index 1773RisingAnthropic files IPO papers, discloses financials and survival-risk warnings25 sources
- Heat index 1153RisingMeta's $25B Stock Offering Oversubscribed 5x at $625 per Share19 sources
- Heat index 1151SurgeGoogle DeepMind releases Genie 4, a real-time interactive world model14 sources
- Heat index 1092OpenAI publishes GPT-6.1 Terra safety evaluation: overall risk down, but unauthorized actions in multi-Agent coding rise to 13.75%20 sources
How is heat calculated?About the methodHide
Heat counts how many independent sources covered a story in the last 48 hours: one source counts once no matter how many posts it published, decaying with a 24-hour half-life. What ranks first is what many people are talking about.
This page aggregates public feeds. Headlines and summaries are machine-organized and remain the property of the original authors; verify important facts at the source. If you believe a headline or summary infringes your rights, email the contact address in the footer with the page URL and basis of your claim, and we will remove or replace it after review.
- Surge
- Discussion rising fast
- New
- First report within 6 hours
- Rising
- Still gathering discussion

