How to Use GLM-4.6 for Coding and Agent Tasks
GLM-4.6 is Zhipu AI's open-weight coding model with a cheap API. Here is how to call it, what it does well, and where it struggles.
GLM-4.6 is Zhipu AI's open-weight coding model with a cheap API. Here is how to call it, what it does well, and where it struggles.
AI-generated components drift from your design system fast. Here is how to make Figma MCP emit tokenized, on-brand code every time.
The Figma MCP server lets AI agents read your design files and generate matching code. Here is the install and a first working request.
Use Nano Banana 2 to turn one product shot into a full set of consistent, on-brand lifestyle images. Prompts, QA, and cost math.
Nano Banana 2 edits images from text instructions while keeping subjects consistent. Here is how to prompt it and what it still gets wrong.
Process thousands of screenshots a day with a local Qwen3-VL. Batching, quantization, and accuracy checks for a real OCR pipeline.
Qwen3-VL is an open vision-language model that reads screenshots, charts, and documents. Here is how to run it locally or via API.
Use GPT-5 Codex to review PRs and auto-fix lint failures. A working design with diff budgets, review comments, and cost controls.
GPT-5 Codex is OpenAI's coding-focused model. Here is how to call it, where it beats general models, and how to keep token use sane.
Prompt caching, tool-result trimming, and turn caps can slash a Sonnet agent's bill. Here are the numbers and the exact settings.
Claude Sonnet 4.5 is a balanced coding model. Learn how to wire it into an agent, set token budgets, and when to pick it over…
Gemini 3 Ultra is expensive per token. Context caching, model routing, and structured prompts can cut a bill by 70% or more.