Every improvement in how we watch has been an argument about where and when. The next one is about what, and software is about to have the same argument.
§ 00 — HASSAN HABIB
I build software,
teams, and communities
that outlive me.
Author of The Standard — a unified engineering standard for building distributed systems — and founder of a global open-source community dedicated to free education, free healthcare, and better software for everyone.
NOW Helping organizations adopt AI that is safe, predictable, and self-hosted on hardware they already own — at Best Bytes.
$ whoami
Engineer. Author. Open-source advocate.
$ hassan --mission
Decentralize intelligence. Elevate people, not erase them.
$ hassan --now
Building PeerLLM · The Standard for Agents · Standup with Hassan
$ hassan --stats --live
↓ 2,055,580 NuGet downloads · ☆ 1,243 Standard stars
type help to explore — man hassan is a good start
§ 01 — WRITING
Latest posts
AI can grow a developer's output faster than their understanding. What the research shows, what that gap costs, and how those of us with experience can make room for engineers to grow alongside their agents.
Software engineering did not just gain a new tool. It gained a whole stack, from silicon to the decision that software should exist at all, and every role in it has an Altitude.
§ 02 — WATCHING
Latest on YouTube
§ 03 — POSTING
Latest on LinkedIn
On Spec · Hassan Habib The era of prebuilt apps might be wrapping up. I can see a future where our interactions are with one app of all apps. I call it the box. You ask, and it picks the fragments and tools it needs and puts them together in real time to build you an interactive experience to your own liking to get whatever you need done.…
The First Rule of AI Solutions Architecture The first episode of my AI architecture series is about when *not* to build an agent. If your input is deterministic and your output is deterministic, you don't need one. Using an agent there is driving your car to your next door neighbor, twenty steps away. Four answers, in order: 0/ A tool: the same CSV import,…
AI is only as reliable as the human judgment around it
§ 04 — BUILDING
Projects & products
9,694 contributions in the last year · github.com/hassanhabib
PeerLLM
A decentralized AI network — people-powered LLM hosting where anyone can run open-source models on their own hardware, serve real inference to the world, and earn from it. Private, distributed, and built for a decentralized future.
The Standard
A unified standard for engineering distributed systems — covering brokers, services, exposers, and everything in between. Free and open to everyone, translated by the community into multiple languages.
The Standard for AI Agents
The Standard, applied to agents: Agent = Orchestration(Data, Decision, Direction). A simple, reliable, and accountable way to engineer AI agents — with a C# reference implementation on NuGet.
§ 05 — AT SCALE
Products I helped build
Before the one-person-army era: products built with big teams at Microsoft and Amazon, used by hundreds of millions of people.
Xbox Subscriptions
Commerce engineering on Microsoft's Universal Store — the subscription and billing rails behind Xbox, serving millions of players around the world.
Office Subscriptions
Subscription platform work for Office and Microsoft 365 — recurring commerce for one of the most-used software products on earth.
HoloLens 2.0
Engineering on the HoloLens 2 platform — mixed reality at the bleeding edge, where hardware, vision, and software meet.
AWS Infrastructure
Engineering manager on AWS infrastructure — leading teams deploying AWS datacenters around the world.
Xbox photo: Hassan with the Halo 2 Master Chief statue. HoloLens 2: Hassan's own — badge and all.
§ 06 — AUTHOR
Books
Every one of them free to read, in full, right here. Take one off the shelf.
Whitepapers
The architecture and economics behind PeerLLM, written up in full.
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PeerLLM
The vision, architecture, and economics of PeerLLM: a peer-to-peer network where anyone can earn from their idle hardware, their data, and their models, so the gains of AI are shared instead of concentrated in a handful of companies.
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LLooMA
How PeerLLM runs inference across community hosts: splitting prompts into dependency graphs, racing hosts under strict deadlines to cut tail latency, and continuing across models when one fails. Scaling intelligence by improving the execution policy, not only the machines or the models.
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JooMMA
The data side of PeerLLM. Questions the network cannot answer become knowledge gaps routed to verified experts, whose validated answers are stored with attribution and pay their authors every time they ground a model’s answer.
§ 07 — HONORS
Awards
Silver Play Button
Presented for passing 100,000 subscribers — the channel has since flown past half a million.
Impact Award 2021
For providing exceptional dedication and inspiration to learners by expanding their career exposure and bringing real-world relevance to education — as a virtual volunteer helping prepare students for the future of work.
5-Year Service Award
Five years of building commerce, subscriptions, and mixed reality — crystal, book, and BOSS mug included.
§ 08 — WORDS
Quotes
“AI is only as reliable as the human judgment around it.”
LinkedIn · Sep 2026