yama

The "respond with UI instead of text" approach is exactly what conversational AI needs. I'm curious about how UI state is managed during multi-turn conversations - when a user modifies a previously generated chart or form, does C1 perform incremental updates on the existing component or regenerate from scratch? Also, is there support for preserving partial UI state when the conversation context...

Voice-first approach for AI agents is a natural evolution from terminal and chat interfaces. The whitelist-based security model seems well-designed for preventing unauthorized access. Curious about the session state management - if a voice call gets disconnected mid-conversation, does the agent preserve context for when the user calls back, or does it require a fresh start?

The "Figma for Claude Code" concept is interesting. Bridging visual editing and AI agents addresses a real gap in the design-to-code workflow. I'm curious about multi-component scenarios: when a visual change affects multiple files (e.g., updating a shared component's layout that cascades to parent containers), how does Inspector handle the context propagation to Claude Code? Does it batch...

The cross-agent translation for 32 agents is impressive. I use Claude Code daily and switching context between tools is painful. Curious about the Primer feature — how does auto-generating instructions work in practice? Does it analyze your codebase patterns and suggest skill definitions, or is it more template-based? Also, for team scenarios where different members use different agents (Claude...

Love this lightweight approach — VPN + SSH + tmux setup is always a friction point for remote Claude Code sessions. The browser-based access is exactly what mobile-first workflows need. I'm curious about multi-session support: when running multiple Claude Code instances in parallel (e.g., different worktrees), can you switch between sessions or monitor them simultaneously from the same dashboard?

The sandbox-exec approach feels like the right level of isolation for coding agents without the overhead of containers. I especially like the log monitoring UI for observing blocked actions in real time. Does the log view support filtering or searching through past blocked events? When debugging why an agent failed mid-task, being able to quickly trace which specific file or syscall was denied...

Nice work building this with Claude Code. Curious about your development workflow — did you find yourself hitting the usage limits while building the app itself? Would be interesting if the app could also track API usage for those running Claude Code or other API-based workflows.

I see it's built with Claude Code and OpenAI. For developers who want to iterate on generated extensions with more granular control, is there a way to export the source code and continue development in tools like Claude Code or Cursor?

The hybrid approach with AgentFallback is really thoughtful. When the agent fallback handles a UI change dynamically, does it automatically update the underlying script selectors, or does it require manual review to commit those fixes permanently?

The OAuth debugger looks really useful for troubleshooting authentication flows. I'm curious about testing MCP servers that connect to multiple external services — does the inspector support visualizing parallel OAuth flows or handling multiple tokens at once?

Really excited about the open-source approach for translation. I'm building a tech news aggregator that summarizes articles from Japanese engineering blogs for global readers, so local translation models like this could be game-changing for keeping latency low. Curious about the quality benchmarks for technical/specialized content vs general text — does the ensemble reward model help with...

The MCP integration for exposing governed context to AI agents is interesting. For teams working with both structured databases and unstructured content like documentation or articles, does the context layer handle these differently, or is there a unified approach to surfacing relevant meaning regardless of source type?

Tracking changelogs for the tools in my stack has been a manual process for too long. I'm curious whether there's an API or webhook option for triggering automations when updates come in—useful for teams that want to pipe alerts into their own workflows or internal tools.

The cross-platform support and local model option are attractive for developer workflows. I'm curious about language handling—does the speech recognition support multiple languages like Japanese, and if so, does the AI formatting adapt to each language's writing conventions?

The browser plugin for cloning components sounds useful for rapid iteration. I'm curious about model compatibility—do prompts in the library include any metadata about which coding agents or models they work best with? Design outputs can vary quite a bit across different LLMs, so knowing upfront what works where could save some trial and error.

The natural language approach to building map-based apps without GIS expertise is compelling. I'm curious about data portability—when you've built something in Atlas.new, can you export the underlying spatial data in standard formats like GeoJSON for use in other tools, or is the goal to keep everything within the platform?

The timezone handling for streaks is a thoughtful detail—I've seen apps struggle with that edge case when users travel. I'm curious about the notification sequences: can you set up conditional triggers based on streak length, like sending different messages for users at risk of breaking a 7-day streak versus a 30-day one?

The focus on accuracy over noise makes sense—most AI reviewers I've seen lean too far in one direction. I'm curious how cubic handles codebases with mixed AI-generated and human-written code. Does it adjust review depth based on the origin of the code, or treat all changes uniformly?

The integration with existing Claude Code and Antigravity subscriptions is practical for developers already using those services. I'm curious how the Helium 0.1 model balances speed and accuracy for code reviews—does it handle complex multi-file changes as effectively as single-file edits?

The ability to import any URL and edit it freeform is a nice workflow for quick mockups or client revisions. I'm curious how it handles JavaScript-heavy pages—does it capture the rendered DOM state, or only the initial HTML? For single-page apps, that distinction could matter quite a bit.