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BetaGoodebot
The desktop workspace for robot profiles, hardware, controls, previews, builds, and deployment.
Python-first robotics development
Create it. Import it.
Deploy it.
A modern development ecosystem for configuring, programming, testing, building, and deploying compatible VEX V5 robot projects.
Goodecode brings a Python-first workflow. Goodebot connects code, devices, controller mapping, simulation, and deployment in one application.
macOS BetaGoodecode 0.0.62No account required
main.goode.py
ctx.drive_for(24, speed=80)Runtime statusReady to build
One connected workflow
Four parts. One robot project.
Move from an idea to a deployable program without losing the connection between hardware, code, and behavior.
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BetaGoodecode
A Python-first authoring workflow and Visual Studio Code extension for readable robot projects.
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In developmentCodeless
Visual actions, triggers, and device declarations that stay grounded in editable project code.
04
ExperimentalCortex
The runtime generation, packaging, simulation, and physical deployment layer.
From blank project to Brain
A workflow you can follow.
- 01Create Project
- 02Configure Devices
- 03Write Goodecode
- 04Test & Simulate
- 05Build
- 06Deploy
Configure with context
Your robot, mapped clearly.
Build a robot profile around real ports, mechanisms, sensors, controller inputs, and competition settings. Goodebot keeps that configuration beside the code it informs.
- Motors and motor groups
- Sensor and pneumatic mapping
- Controller profiles
Screenshot neededPort Mapping
Replace with a real 16:10 app capture.
Preview before hardware
See what the Brain will show.
The Virtual Brain and Digital Twin surfaces help verify layouts, autonomous selection, status, and generated behavior before a physical upload.
- 480 × 240 Brain previews
- Competition profile states
- Touch and status layouts
Real Goodebot captureBuild with confidence
One path from source to deploy.
Validate a Goodecode project, generate its runtime, review the deployment contract, and prepare the selected Brain slot from the same guided flow.
- Project validation
- Runtime generation
- Deployment preparation
Screenshot neededBuild & Deploy
Replace with a real 16:10 app capture.
Verified in the repository
Built for the systems teams use.
Configure devices
Map motors, motor groups, sensors, and pneumatics in a visual robot profile.
Map controller inputs
Connect buttons and axes to driver behavior with readable, inspectable mappings.
Write readable Goodecode
Keep robot behavior in a Python-first project that teams can understand and review.
Preview Brain output
Check screen pages, competition state, hardware status, and auton selection before deployment.
Use the Digital Twin
Exercise generated robot behavior in a software preview while physical parity remains experimental.
Build and deploy
Validate, generate the runtime, package the project, and prepare a physical V5 upload.
Ready to start?
Bring your next robot project into focus.
Download Goodebot from its only official public download page and follow the graphical installation guide.