GearCode

What it does

Build drones and robotics faster with an AI coding copilot. ROS 2 & Embedded C++ support for robotics and UAV projects Terminal error detection with instant, one‑click AI fixes Workspace‑aware context that understands your project structure Designed for drone developers, roboticists, and embedded engineers Stop wasting hours debugging — let AI handle the errors while you focus on innovation.

Extension for Visual Studio Code - AI-powered coding assistant for ROS 2, embedded C++, and drone development. Terminal error detection, one-click AI fixes, and workspace-aware context.

AI-powered coding assistant for ROS 2 , embedded C++, and drone development. Phase 1 MVP — VS Code Extension Open the folder that contains your src/ and (optionally) colcon.meta . GearCode will auto-detect your packages on startup and inject them as context into every AI query. This context is injected into the AI system prompt so answers are specific to yourfrom marketplace.visualstudio.com

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  Verdent Deck2025 · verdent.ai · ▲295

  Hi HN! We just launched Verdent, an AI coding agent that actually plans before it codes, tests its own work, and delivers production-ready results without you having to clean up after it. tl;dr Check out the website [1] and read the story [2] - The problem: Current AI tools dump code and leave you to debug. You ask for "build a login endpoint" and get a passwordless JWT mess that doesn't fit your project. We've talked to hundreds of engineers who are frustrated with having to micromanage AI output. - What we built: Verdent works more like a senior engineer. It asks clarifying questions…

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  DriftMar 2026 · godrift.ai · ▲243

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  Aviator Agents2025 · aviator.co · ▲97

  When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…

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