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Insights & Perspectives
Field notes on shipping software, security, and data work across Uganda and East Africa.
Practical writing on software delivery, AI, and technology in Uganda, East Africa and the world, by Moses Olara.
Africa's AI Moment Is Local Languages and Small Bandwidth
The African AI opportunity is not chatbots for the connected few. It is local languages, offline delivery and unglamorous problems like school report cards.
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Uganda's Technology Status Quo in 2026
An honest look at where Uganda's technology sector actually stands: mobile money as the real platform, the cost of staying online, power, and digitisation.
Four Neighbours, Four Bets: East African Tech Compared
Kenya, Tanzania, Rwanda and Uganda made different wagers on mobile money, digital ID and state platforms. What each does well, and what Uganda can borrow.
The Human Position in an AI Era
Where people stand when machines draft and translate: responsibility, taste and trust, seen from a pipeline pushing Acholi text through an open Ugandan model.
Figuring Out What Went Wrong: A Debugging Field Guide
A working method for finding the cause of a production problem: reproduce it, narrow it, read the real error, test one hypothesis, and know when to stop.
What the Best Engineers Actually Do
Habits I have watched work in the OpenMRS community and in Ugandan client projects: reading before writing, small verified slices, and saying no early.
What Actually Goes Wrong on Software Projects in Uganda
Power, connectivity, procurement cycles, scope drift and data on one laptop: the real failure modes of Ugandan software projects, and what de-risks them.
Leverage When Everyone Has AI
Judgement, ownership, domain knowledge and distribution are the leverage that survives cheap generation. Lessons from building for cooperatives and churches.
Shipping Software in Small, Verified Slices
Why big-bang launches keep failing, what a vertical slice actually is, and how to sell staged delivery to a client who has already paid for the whole thing.
AI Is Removing the Middle of Software Engineering
What AI coding tools actually take away from the profession, what they cannot touch, and what a young engineer in Kampala should be learning instead.
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