Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post <a href="https://github.blog/ai-and-ml/github-copilot/how-canvases-make-age...
VQV Signal
OPEN SOURCE
SOURCE-BACKED
TECHNICAL
How canvases make agentic workflows visible, steerable, and cost-efficient
Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post <a href="https://github.blog/ai-and-ml/github-copilot/how-canvases-make-age...
Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post How canvases make agentic workflows visible, steerable, and cost-efficient appeared first on <a href="...
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength 91%
Technical label SOURCE-BACKED
Public Interest 28
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 0
Practical Impact Score 0
Novelty Interest Score 94
Consequence Score 18
Curiosity Score 16
Shareability Score 45
VQV surfaced this signal because it is recent, relevant to AI Agents, connected to GitHub Blog.
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