Nick Kamanzi

“It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change.” - Charles Darwin.

#FoundersDayCafe week is here! We are excited to see you all this Friday. Founder's Day Café, is open to everyone. Bring a friend to learn something from & network with Nicholas Kamanzi @Nickle_las , starting 5pm at our Kampala offices, at Kanjokya House along Kanjokya Street

@duchace Yes! @hivecolab

Does hive colab still exist @Nickle_las ?

@kyukxs @maxmass2040 We should get in on this action

Cc. @Nickle_las @maxmass2040

If you actually get what’s going on, what you spend time on has a big opportunity cost. Choose wisely.

@StoneAtwine 💯💯

After 2 weeks building deeply with Claude + Codex, Claude has gone offline and I was able to put my head above water to find that there's a new war. Writing software is now a commodity. Judgment is the most in-demand skill. We’re about to see millions of vibe-coded apps. and most will look good but about the same number will be useless. The bottleneck has moved. It’s no longer “can you code?” It’s: • Do you understand the market deeply? • Do you understand regulation? • Can you design systems? • Can you price risk? • Do you control distribution or just wrap APIs? Can you see far enough? Connect dots? Weak SaaS is gone. If your moat is “we built a dashboard,” you’re in trouble. But AI doesn’t replace great operators. It lifts them up and amplifies them 100-fold. The winners will be: – Deep domain founders – Elite engineers who understand systems – Operators who control capital + rails + compliance The middle layer of “just build features” is going to feel this hard. Software isn’t dead. But software with nothing else is finished.

the real AI divide isn't technical vs non-technical anymore it's people who use AI agents daily vs people who don’t. And people building every day and people who don’t. the gap is getting enormous

why would agent want to be orchestrated?

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

Money might not buy happiness, but it can buy tokens.

@TheMatundaMan My leader!

Agriculture and machines are deeply ingrained in my DNA 🧬 #PurBer 🌾

Webale Kakande! Banks are already shifting to lend more to government and you can feel this in the real economy. Business lending is so expensive yet necessary to widen the tax base. How does the flywheel play out? Are we in a bond bubble?

I will do 4 custom illustrations for 4 random people that are participating in the cancer run. Just share the ka momo payment screenshot.

What did you build this week?

💯

A startup's initial problem is usually what the product should be and how to get the first users. It may sound like those are two problems, but they're not. Ideally you solve them simultaneously, and the process of trying to get users shows you what the product should be.

@solomonalvink 💯

Been vibe coding some project for the last few weeks, and boy ohh boy, we are in NEW TIMES

@TheMatundaMan Travel flip flops 🩴

I respect 🫡 people who work in flip flops 🩴 …..

Mandatory Otuboi stop. @enywaru your relatives say Hi 👋

Thank you God , For the best memories & moments 🙏🏾 That’s all I can say, THANK YOU GOD 🙏🏾

Hey! I'm work and this is my Dhagaa 😁