Check the local environment
Confirm that the machine is ready before a class, lab, or build session.
gihanga genzuraUse cases
Use Gihanga from the terminal or the desktop workspace.
Gihanga supports two working modes: the Kinyarwanda-first CLI for fast local commands, and the desktop workspace for visual project review, agent planning, code context, and guided learning.
Gihanga modesCLI mode
Fast project actions from the terminal.
Show available templates
List starter directions for AI, web, and hardware-oriented projects.
gihanga ingeroCreate a new project
Start a named folder from a practical template and begin building immediately.
gihanga tangira ishuri-ai ai-ibanzeRun background agent work
Process queued project tasks when a local runner is connected to a workspace flow.
gihanga umukozi:kurikiranaDesktop mode
Visual workspace for guided building.
Open a project folder
Work from a local folder and keep project files close to the learner or team.
Review the agent plan
Read the proposed steps before changing code, docs, or project structure.
Inspect file changes
Use the workspace to understand what changed and why it matters.
Learn with explanations
Turn each build step into a teaching moment for learners, cohorts, and project teams.
CLI + Desktop
Practical work Gihanga should support.
Build agent-assisted apps and automations
Plan prompts, scripts, workflows, and simple AI-enabled tools for learning and local productivity.
Create pages, routes, and small product prototypes
Use templates and guided changes to build practical Nuxt, Cloudflare, or static web projects.
Prepare device and maker exercises
Structure code, notes, and lab instructions for attendance tools, sensors, and classroom demos.
Find and fix project issues
Ask for a plan, inspect likely causes, and apply changes in small reviewable steps.
Write README files and learner notes
Explain setup, usage, project goals, and next steps so others can understand the work.
Support UpskillsAfrica course projects
Turn lessons into buildable project folders that learners can run, edit, and explain.
Prototype internal tools and MVPs
Move from idea to working local prototype without losing the reasoning behind the files.
Run repeatable computer-lab sessions
Use starter templates and guided steps across machines in a classroom or cohort setting.
Review a shared project direction
Use plans, explanations, and project context to align before implementation.
Example flow
Start in CLI, continue in Desktop.
gihanga genzura
gihanga ingero
gihanga tangira ishuri-ai ai-ibanze
# open the folder in Gihanga Desktop
# review the plan, build, run, and learn