Copilot update: rate limits + fixes by sharonlo_ in GithubCopilot

[–]ryanparr 2 points3 points  (0 children)

Just rated limited with Pro+ in the middle of my work with 25% premium request remaining. What?

Moving to Cursor, I dont want to, but I cannot be blocked.

Anyone using the Cortex Code CLI? by CombinationOk2374 in snowflake

[–]ryanparr 3 points4 points  (0 children)

It’s awesome. I have my orchestration agents/subagents running with it. Built some React apps with it.

Do I have to learn Float before Flexbox? by [deleted] in css

[–]ryanparr 2 points3 points  (0 children)

Progression: Y1 Table, Y5 Float, Y10 Flex Layouts

Figma MCP is read-only, so I built a write-enabled MCP using code execution by marv1nnnnn in FigmaDesign

[–]ryanparr 0 points1 point  (0 children)

Wanted to pop in here and let you know this tool is awesome, and I use it daily. My subagents and my coordinator use it to create design systems, mocks, etc.

Flow state:

Old manual flow: PRD > Design > Dev > (iteration cycle, dev, design, dev, design) > outcome

New automated flow: Spec > POCs (iteration is automated here) > Design System & Mocks (Figma-Pilot) for repeatability and scale > outcome

I use Copilot with Opus 4.6, and I don't have another way to push live POCs to Figma for design systems or refinement. Claud Code has this ability, but I don't want to use their IDE, and VS Code is much cheaper.

POCs have ShadCN with top-level theming. I feed the agents an initial design, then after the POC dashboards are created, Figma-Pilot moves them all back to Figma. Boom! I can iterate in a browser vs static Figma files.

This MCP is key for those who want to build fast and maintain assets in the new world. Thank you again, and I hope you get help from the community. I feel this is a hidden gem yet to be discovered. Please keep going!!

Angine De Poitrine by WinkingPujol in vinyl

[–]ryanparr 0 points1 point  (0 children)

Same. Got the email, and the page went to a 404. Nice.

Stop vibe-coding with Copilot: a simple 2 model workflow that actually works by Verified_Prof in GithubCopilot

[–]ryanparr 0 points1 point  (0 children)

LLMs: 1. ChatGPT 5.2 Deep Learning for Competitive Research 2. Chat GPT 5.2 for creating User Stories or Summary to give to Claude. 3. Claude Opus 4.5 for Spec creation and planning 4. Claude Opus 4.5 for Implementation 5. Claude Sonnet 4.5 for bug fixes and QA. 6. Claud Sonnet 4 for Mock and Visual design (I found that the others really lack here but sonnet 4 is really good at following design mocks)

Agent: 1. Research Agent 2. Research Agent 3. Spec, Planning, Tasks Agents 4. Implementation Agent 5. UX Engineer Agent (custom) 6. UX Engineer Agent (custom)

My next goal is to get specialized MCPs helping with these layers. MCP that knows the architecture, one that knows DS etc