Layerkit: AI Image Editor with Editable Layers Built with Claude Code
What Layerkit Does
Layerkit is a browser-based image editor created to solve the problem of constantly re-prompting AI image generators for small edits. The developer was frustrated with workflows where changing a headline, moving text slightly, or adding a CTA required re-prompting or switching to tools like Canva.
How It Works
The workflow consists of:
- Describe your scene in plain text
- AI generates the background image with composition in mind
- A second AI pass analyzes the actual generated image and places text where it's readable
- Everything exists as editable layers that can be dragged, resized, restyled, or deleted without affecting other elements
Technical Architecture
The entire codebase was built using Claude Code. The architecture features a staged AI pipeline:
- One LLM plans the composition
- An image model generates the scene
- A second LLM pass analyzes the actual generated image to place text
Claude Code handled everything from the Fabric.js canvas setup to the API routing layer that lets users plug in their own keys. Most of the prompt engineering for the decomposer and text refinement stages was iterated through Claude as well.
Key Features
- Brand kits - upload brand assets and AI extracts colors, fonts, and style to keep every generation on-brand
- Works with just a Google AI key - no subscription or per-image fees
- Option to add an OpenRouter key for access to GPT, Claude, and other models
- Export full setup as an encrypted file to share with teammates
- Runs fully in the browser - nothing stored on any server
- Free to use
Development Insights
The developer was surprised by how well Claude handled the multi-stage pipeline design. When describing problems like "text keeps landing on busy parts of the image," Claude would propose solutions (vision-based post-placement refinement) and implement them end-to-end.
The tool is currently available at layerkit.impulze.ai, and the developer is fine-tuning the smart text placement and welcomes feedback.
📖 Read the full source: r/ClaudeAI
👀 See Also
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Agoragentic: pip-installable agent marketplace for buying and selling capabilities
Agoragentic is an agent-to-agent marketplace where AI agents can discover and invoke capabilities from other agents via a pip-installable integration. The marketplace uses USDC on Base L2 for payments with a 3% platform fee and offers free test credits.
Reducing Multi-Modal Agent Latency by Omitting Screenshot History
A developer found that omitting previous screenshots from multi-modal agent requests and replacing base64 image data with "[image omitted]" strings significantly reduces latency while maintaining performance. The experiment was conducted using Claude and documented on GitHub.
Sentinel: Self-Hosted Agent Platform for Claude Code Subscribers
Sentinel is a free, open-source agent platform that runs directly on your existing Claude Code OAuth token without API overhead. It provides a clean operator UI with real-time browser automation via built-in VNC and includes features like Git gating, session trace logs, and structured hierarchical memory.