Feedback your AI coding agent can read
Loom is built for humans. Jira is built for tickets. Neither survives the handoff to your coding agent. CobaltCapture is the format that does.
When you're shipping with Cursor, Claude Code, Windsurf, or Lovable, the bottleneck isn't writing code. It's getting feedback into the agent. Most teams paste a screenshot and type a paragraph. The screenshot loses its context. The paragraph loses the screen. The agent guesses.
CobaltCapture solves the handoff. Capture the screen, drag a box around what matters, talk through the problem. Publish, and you get a markdown document with cropped screenshots, source URLs, and your dictated commentary as editable text. Paste the URL into your agent prompt or hand it the raw .md. The format is the product.
By agent
Pick your stack, the workflow is the same, the input format is what changes.
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Cursor
Composer-friendly markdown. Screenshots processed inline.
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Claude Code
Terminal-native. Save the .md to your repo and reference it.
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Windsurf
Cascade flow takes structured input, markdown is exactly that.
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Lovable
Chat-driven. Paste a CobaltCapture URL and iterate.
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Bolt
Fast iteration. Tighter feedback loop with pasteable reviews.
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v0
UI from prompts. Document what's wrong, reprompt cleanly.
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Replit Agent
Drop the .md in your Repl and reference it.
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Cline
File-aware. Export the markdown and let Cline act on it.
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Aider
Repo-aware. The .md sits in your project and gets addressed.
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Zed AI
AI assistant takes markdown context. CobaltCapture produces it.
By workflow
Same product, different angles on the same problem.
Stop pasting screenshots into agent prompts.
Capture the screen, talk through the problem, hand your agent a markdown document it can act on. About a minute from open tab to shareable URL.
Start capturing