M_ Mobayilo Academy

Mobayilo Academy

Mobayilo Academy contributes to capacity building in Rwanda by helping aspiring and practicing software engineers use computer science, engineering, and modern AI tools to solve real local problems.

Our current program is the AI Coding Cohort Rwanda: a focused training experience for people who want to learn by building, testing, making mistakes, and improving against reality.

Sa andi a anda a anda. If you know you don't know, you will know.

Selected participants do not pay for the training. Each selected participant receives training worth $500 fully covered by Mobayilo Academy, and Mobayilo Academy also pays for a $20/month Pro AI license for 3 months. Application deadline: June 30, 2026.

Mission

Capacity building starts with real local problems.

Mobayilo Academy is a Rwanda-first effort to strengthen software engineering capacity through computer science, practical engineering, and applied learning. We train people to work on real problems in their communities, because problem solving matters more than certificates, slogans, or theory without use.

The user must exist before the product does.

Every serious idea must survive contact with a real Rwandan user, not just a convincing pitch.
Design for the device people already use

Smartphones, voice, SMS, USSD, and lightweight web flows matter more than shiny dashboards.

Kinyarwanda is a product requirement

Language access is part of the system design, especially for rural users.

Local problem solving is the output

The goal is a useful solution, a reachable user, and evidence that the work responds to a real need in Rwanda.

Program arc

Learn, test, improve.

The current AI Coding Cohort Rwanda is structured around practice. You do not move forward because time passed. You move forward because your understanding, your work, and your evidence improved.

01 / TRAINING

AI coding and software engineering in practice

Learn to prototype, design, build, deploy, and improve software with practical engineering habits, local context, and AI-assisted workflows where they create real leverage. The work stays tied to real problem situations, not toy exercises.

Weeks 1-8 · remote · English
02 / GATE

Evidence from the field, not just an idea

Submit a field visit report and proof of one specific person affected by the problem. The Academy reviews whether the problem is real, whether the participant learned from contact with users, and whether the work deserves to continue.

Selection by evidence · no fixed quota
03 / PRODUCT

Three more months to keep applying the work

Selected participants receive training worth $500 at no cost to them, plus a Pro AI license worth $20/month paid by Mobayilo Academy for 3 months. They continue refining their solution, learning from mistakes, and turning training into practice on a real local problem.

3 months · beyond MVP
Control surface

The curriculum feels like working in a repo.

Inspired by terminal-native tools: state is visible, work is inspectable, and every command should move the learner closer to a real user and a real problem.

pipeline.log running
01

prototype the smallest version that tests the risky assumption.

02

design with agent contracts, product constraints, and architecture notes.

03

build with reviews, tests, and the judgment to reject bad AI output.

04

deploy to a real URL or channel people can actually reach.

05

support with feedback, fixes, monitoring, and ownership after launch.

builder_state.json watched
{}

problem: observed in a named community, not invented for a pitch.

{}

person: one future user with a real situation and a reachable context.

{}

proof: something that runs, even if it is rough.

{}

commitment: time traded honestly for 6-8 weeks of focused work.

Positioning

Not a generic bootcamp.

Mobayilo Academy is Rwanda-first in its context, practical in its training, and serious about capacity building through real work.

Typical course
Watch lessons, copy examples, collect a certificate.
Success is attendance and completion.
Mobayilo Academy
Work in the repo, talk to users, and learn by solving a real local problem.
Success is stronger engineering judgment, working software, and evidence from a real Rwandan context.
Builder standard
Use AI as leverage, not as an excuse to skip fundamentals.
Every claim should have evidence: code, user, deployment, or feedback.
Apply

Apply for AI Coding Cohort Rwanda by June 30, 2026.

$500 of training is fully covered by Mobayilo Academy. Mobayilo Academy also pays the $20/month Pro AI license for 3 months. The application deadline is June 30, 2026. There are no trick questions. More concrete answers make a stronger application.

Rough is fine. Running matters.
Name the place, situation, and people affected — field notes, not a pitch.
The future user must exist before the product does.
Selected participants do not pay. Sent to Mobayilo Academy for review.

Application received.

We will review it and get back to you at the email you provided.