Embedder

Embedder is an AI IDE for embedded systems that pairs a web console for project/datasheet management with a CLI agent that talks to real hardware. The core workflow starts with uploading a component datasheet: Embedder parses it and produces C/C++ drivers tailored to common MCUs (e.g., STM32, ESP32, Arduino, Raspberry Pi Pico). Outputs are grounded in the source documentation, and the agent cites the registers and tables it uses when reasoning about bring-up.

What it does

• Datasheet-aware chat — Converse in natural language; the agent plans its steps, cites docs, and generates testable code instead of hallucinating.
• Driver & component generation — Create production-ready drivers and peripheral init/IO routines based on manufacturer specs.
• Interactive component viewer — Explore key registers, timing diagrams, limits, and constraints without paging through PDFs.
• CLI tooling — Install via npm (npm i -g @embedder/embedder && embedder) to flash, test, and debug from the terminal; includes serial console and gdb-server-style loops.
• Community repository — Share and reuse component models/drivers across teams to avoid repeating bring-up work.
• Privacy & data handling — For consumer users, indexing runs locally; founders state zero-retention with model providers. Enterprise options under exploration include on-prem/BYOK.

Status & pricing

• Currently free during a public beta window. The team has stated plans for usage-based pricing for individuals and a team plan with collaboration features.

In short, it’s like a “Claude-Code-for-firmware” experience: grounded answers tied to datasheets, less time with 600-page PDFs, more time actually bringing hardware up.