Guided AI Code creation & Iteration
Students explain their idea and MicroChat creates the code and helps them understand how it works.
Meet MicroChat
AI Literacy Coding Assistant for micro:bit
Built for students and teachers. No coding experience needed.
MicroChat turns student ideas into micro:bit code with guided support that helps them understand how it works.
Built for educators & classroom management
Teachers invite students to join their classroom session with a pin and monitor their code as it develops.
Safe, closed AI system designed for micro:bit
Classrooms stay safe with guardrails that keep students on task and no student data collected.
Create micro:bit success faster
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Go from language text prompts, to working block and JavaScript code in seconds -
Move code between MicroChat and MakeCode to edit directly and with the AI coding assistant
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Empower students to problem-solve and create code on their own, faster and easier.
Classroom management & teacher controls
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Create a session to give students anonymous tool access - with no logins required.
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Built-in reflection & inquiry makes it easy to assess students' understanding of the code.
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Full educator visibility into student conversations in MicroChat.
Switch between AI and manual coding in MakeCode
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Students bring their idea to life in MicroChat, then edit the code directly in MakeCode to see how it works.
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Build real coding confidence by making small changes, testing what happens, and learning as they go.
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Bring code back into MicroChat to fix what isn't working or take their project even further.
Safe, controlled access to AI coding tools
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MicroChat is a closed AI system for distraction-free micro:bit projects.
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Chat modes allow educators to control the reading level and coding output difficulty.
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Safeguards block harmful or inappropriate content.
Classroom images are AI generated
Why micro:bit users love MicroChat
Districts
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Focused AI Literacy for Classrooms
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STEAM, CTE, & Workforce Pathways
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Maximizes micro:bit investments
Teachers
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Support to teach coding confidently
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Save time creating starter code and examples
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Help students break through barriers
Students
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Create deeper learning by bringing AI code to life
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See how prompt quality affects real outputs
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Turn ideas into meaningful projects faster
Built for Education
MicroChat is trained to guide students through the code generation process.
MicroChat uses the PRIMM model to have the student respond to reflection & inquiry questions about how the code works.
Predict what the code will do
Run the code on the micro:bit
Investigate the code & explain it
Make a new program with the code
Modify the code to improve it
MicroChat Pricing
30-Day Trial
Try the full experience in your classroom for a whole month.
Free
- Full access to paid features
- Guided AI coding assistant
- Edit AI-Generated Code in MakeCode
- Run sessions with up to 30 students
IDEAL FOR EDUCATORS
Teacher
Ideal for individual teachers that teach Computer Science and AI literacy
$
200
/year
- Unlimited Classroom Use
- Guided AI coding assistant
- Edit AI-generated code in MakeCode
- Run sessions with up to 30 students
- Add more student session seats ($)
School or District Group
Secure and scalable access across multiple classrooms or schools.
Custom Pricing
- Save per teacher with group pricing
- Unlimited use per teacher
- Guided AI coding assistant
- Edit AI-generated code in MakeCode
- Custom student session seat limits
- Custom data privacy agreement
MicroChat Frequently Asked Questions
Missing something? Let us know!
What is MicroChat?
MicroChat is an AI coding assistant designed for micro:bit classrooms. It helps students turn plain-language ideas into real, downloadable micro:bit programs they can run on physical hardware.
How is MicroChat different from ChatGPT or general AI chatbots?
MicroChat is purpose-built for education and micro:bit coding. Instead of open-ended conversation, it focuses on generating real, runnable code for hands-on classroom projects. This keeps students on-task and aligned with learning goals.
Is MicroChat safe for classroom use?
Yes. MicroChat is designed as a classroom-safe AI tool with guardrails that keep interactions focused on coding and project-based learning. It avoids wide-open chat behavior and stays aligned with educational use.
Can beginners use MicroChat for coding?
Yes. MicroChat supports beginners with simple prompts while allowing students to grow into more advanced programming concepts. This creates a low floor to start and a high ceiling for deeper learning.
Does MicroChat work with real micro:bit hardware?
Yes. Students can download MicroChat-generated code directly to their micro:bit and see their programs run using LEDs, sensors, buttons, sound, and motion.
Does MicroChat teach AI literacy?
Yes. MicroChat helps students learn how AI generates code, how prompt wording affects outputs, and how to test, debug, and improve AI-generated programs. This builds practical AI literacy skills.
Do teachers need coding experience to use MicroChat?
No. MicroChat is designed to support teachers without requiring deep coding expertise. It helps educators focus on facilitation, problem-solving, and learning outcomes instead of troubleshooting code.
Why teach AI with physical computing instead of screen-only tools?
Teaching AI with physical computing helps students connect code to real-world outcomes. When students use sensors, lights, and motion, they can see how AI decisions affect real systems. This makes AI concepts more concrete, engaging, and easier to understand.
What are the benefits of hands-on AI learning for students?
Hands-on AI learning improves problem-solving, critical thinking, and engagement. Students learn to test, debug, and refine real systems instead of passively consuming AI tools. Physical projects also help students understand cause-and-effect relationships in AI systems.
What is the best way to teach AI literacy in K-12 classrooms?
The most effective way to teach AI literacy is through project-based learning. Students should create, test, and improve real code while exploring how AI generates outputs, responds to prompts, and interacts with real-world inputs like sensors and data.
