Summary
According to a post on X by @EveryDevAi, the company has open-sourced the Elephant-Goldfish Model, a tool for reviewing specs written by AI. The post says AI-written specs often look fine to the agent that wrote them, because that agent already knows what was meant. The model splits the work: a deep-context Elephant agent drafts the spec, and zero-context Goldfish subagents review it cold. The post also says it includes a five-stage design review and a drift report against the code, is open source through Google Open Source, and supports Claude Code and Codex.
AI-assisted summary based on the listed source.
What happened
EveryDev.ai says AI-written specs often look fine to the agent that wrote them, because it already knows what was meant. Elephant-Goldfish Model splits the job: a deep-context Elephant agent drafts the spec, then zero-context Goldfish subagents review it cold. It includes a five-stage design review and a drift...
Why it matters
Teams using AI coding agents to write specifications could add a separate review step that works without the author's context, which may catch gaps the drafting agent misses. The drift report against the code could help teams check whether a spec still matches what was built. Watch for independent testing of the cold-review approach, since the claims come from the company's own post.
Signal Intelligence
Signal Strength 91%
Technical label WATCH
Public Interest 64
Category OPEN SOURCE
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 60
Practical Impact Score 82
Novelty Interest Score 94
Consequence Score 30
Curiosity Score 16
Shareability Score 73
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Coding Tools, connected to Scobleizer News Pulse (X).
