Features
Datasheet Intelligence: reads reference manuals and datasheets, citing source sections
Schematic Ingestion: imports KiCad and other schematic formats
Hardware Interaction: drives debug probes, logic analyzers, oscilloscopes
Agent Orchestration: dispatches multiple sub-agents in parallel
Hallucination Detection: validates code against source documents
Closed-Loop Validation: flashes board, runs tests, fixes mistakes
Platform Migration: assists moving code between MCU families or toolchains
Automated Testing: generates and runs test suites on target hardware
Power Optimization: analyzes and suggests low-power firmware changes
Errata Handling: applies known silicon errata workarounds
Multi-MCU Support: covers 500+ MCUs and 3,000+ peripherals
Real-Time Signal Monitoring: reads serial output and drives GDB sessions
Power Profiling: captures current draw with Joulescope, Nordic PPK2
Signal Observation: turns logic analyzer captures into structured data
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training