Speaking
I like talking about the things I am actively trying to figure out.
AI. Software. Startups. Building products. Engineering. The future of how we work.
I am most interested in conversations where the ideas are practical enough to take back to work.
Topics I speak about
Available to speak
Building Software with AI
What it actually looks like to build real software with AI in the loop.
Not demos. The real workflow: how I brief a codebase, plan before I write, delegate scoped tasks, and keep review as the thing that makes it safe. Where AI genuinely multiplies output, and where it just produces bad code faster.
Available to speak
AI Agents and Multi-Agent Systems
What agents actually are, and when a system of them beats one.
Past the buzzword. What makes an agent useful versus useless, why specialised roles plus adversarial review can improve output, and why more agents is usually not better. Grounded in the agent systems I build.
Available to speak
The Future of Software Engineering
How the engineer's job is changing, and what stays the same.
Generation is getting cheap. Judgement is getting valuable. What that means for how we work, what skills appreciate, and why review and architecture matter more, not less.
Available to speak
Vibecoding and the Changing Role of Engineers
What vibecoding is, what it is not, and where it breaks.
Building by describing what you want and iterating with AI is real. It is also not the same as writing bad code. The difference is knowing which mode you are in: exploring, where vibes are welcome, and committing, where engineering rules apply.
Available to speak
Building AI-Native Startups
What changes when a small team has real AI leverage.
AI compresses headcount directly. A small team now covers ground that used to take a department. What to automate, what to protect, and how the bottleneck moves from hands to judgement.
Available to speak
From Engineer to Founder
What it takes when every engineering opinion becomes a business decision.
The shift from building the thing to building the company around it. Technical bets, when to ship, what actually kills momentum, and the honest parts of going from writing code to running a company.
Available to speak
Building Fintech in Africa
Building software where the bugs are other people's money.
Lessons from building Myaza. Why trust is the product, what correctness discipline looks like when money is involved, and the realities of building financial infrastructure in this market.
Available to speak
Building in Public
Sharing the work honestly, including the parts that did not work.
Why I write down what I am building and learning, how it shapes the work, and what building in public looks like when you refuse the polished founder performance.
Bio
Charles Archibong is a software engineer and founder. He builds Myaza, a fintech company, and works on the harder end of software, the systems where correctness and trust actually matter.
Most of his time now goes into building with AI. Not talking about it, but using it to build real products, design specialised agents, and work out what the future of software engineering looks like from the inside. He documents this in The Build Log.
He is most interested in the practical questions. What actually works. What is overhyped. Where human judgement still matters. He speaks and writes for engineers, founders, and anyone trying to use AI well, and he is honest about the parts he has not figured out yet.
Short bio (50 words)
Charles Archibong is a software engineer and founder. He builds Myaza, a fintech company, and spends most of his time figuring out what AI can actually do when you treat it as part of how you build software and companies. He shares what he learns as he goes.
Long bio
Charles Archibong is a software engineer and founder. He has spent most of his life writing software, and now builds Myaza, a fintech company, along with the systems and products around it.
His work sits at the harder end of software engineering, where correctness and trust are not optional. That fintech discipline, the habits around ledgers, reconciliation, and explicit state, shapes how he thinks about every kind of software.
Today, most of his attention goes into building with AI. He uses AI to design and ship real products, to build specialised agents with narrow responsibilities, and to run experiments about what genuinely improves the work. He is interested in the practical reality of this shift, not the hype: what AI actually changes about software engineering, where it multiplies output, and where human judgement still decides everything.
He writes and speaks for a broad audience, engineers, founders, product people, and anyone trying to use AI well in real work. His approach is direct and honest. He documents what he is building, what he is learning, and what surprised him, including the parts that did not work, in The Build Log.
He is most interested in conversations where the ideas are practical enough for people to take back to their own work.
Invite Charles to speak
Tell me a little about your event and the audience. I read every one of these personally.
The stuff I learn while building.
I test a lot of tools, workflows, and ideas. The Build Log is where I share what actually worked, what surprised me, and what I would do differently.
AI workflows. Claude. Agents. Building software. Building companies.
- Practical AI workflows I actually use
- Tools and systems worth your attention
- Lessons from building software and companies
- Things I learned the hard way
One email when there is something worth sharing. From Charles, no one else.
