Claude Code · MCP · Context7 · Figma — overview of AI coding tools
Google Stitch is a Google Labs tool that turns natural language and reference images into UI designs and front-end code. Think Figma's auto-layout brain plus v0.dev's component generation, with a Google look. Where 14-a…
If 10-ai-coding-ides covers desktop IDEs (Cursor · Windsurf · Kiro · Trae · Antigravity), this note covers their browser cousins — AI Web IDEs and AI app builders — that turn a prompt into code, DB, and deployment with…
Claude Code is Anthropic's terminal-based coding assistant CLI, released in February 2025 (research preview at the time). It later moved to general availability and gained features like IDE integration, GitHub Actions,…
There are places where you want external behavior to run before or after an LLM agent's tool call. Auto-formatter execution, change watching, logging, policy validation, secret-leak blocking — that kind of work.
Attempts to feed information from design tools into a code-writing LLM are growing. When a designer's screen is shown to the LLM and components, tokens, and layouts are translated into code, Figma occupies the largest p…
The Agent Development Kit (ADK) Google released in 2025 is an open-source framework for building LLM-based agents and multi-agent systems. It assumes integration with Vertex AI but stays relatively neutral on models and…
Beyond using LLMs as one-shot calls, more tools bundle multi-step automation and integration flows. The strands vary — connecting nodes without writing code (GUI), or self-hosting to keep operational control.
When a large task is handed to one LLM instance in a single shot, the context fills quickly and responsibility blurs. Subagents are the pattern of slicing a task into smaller units and delegating each to a separate mode…
If MCP is the standard, the clients are the entry points that actually expose it to users. Multi-client environments, where multiple clients share the same server simultaneously, are the reality.
Around the time Cursor went GA in 2023, IDEs where "AI is the main interaction" multiplied fast. Various attempts have been made, either as VS Code forks or new editors. Capability evaluations change quickly with time,…
The training-data cutoff of an LLM never quite matches the latest. Library docs and API specs change often, and the model answers with old information confidently. MCP servers and services that expose docs in an LLM-fri…
The Model Context Protocol (MCP) is a protocol for connecting LLM clients to external data, tools, and prompts in a standardized way. Anthropic released it in November 2024 and other AI tools and IDEs adopted it quickly…
Aside from in-IDE assistants, AI coding tools in terminal CLI form are growing on their own track. The motivations are friendliness with shells, SSH, and CI; script automation; and a lighter interface.
As AI coding assistants multiplied, the convention "write the project rules and context in a single file" took root. Tools differ slightly in name and location, but the intent is similar.
The flow of AI moving inside the browser progressed quickly between 2023 and 2025. It started with sidebar assistants, expanded into page summarization, translation, and drafting, and reached the place where agents hand…