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AI & Engineering

Deep technical discussions on AI agents, frameworks, and software architecture.

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Building spatial apps: lessons from Vision Pro development

I put together a development guide for the Vision Pro and the biggest lesson is that spatial computing is not '3D UI.' It's a different input model, a different ergonomics problem,

Motaz HefnyMotaz Hefny0 replies36 views9/10/2026
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Quantum computing in 2026: what's actually usable

I wrote a piece on quantum's practical applications this year and tried to stay grounded about it. We're not replacing classical computing, but specific problems optimization, chem

Motaz HefnyMotaz Hefny0 replies32 views9/10/2026
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OpenCLAW and the agent-framework wars — a builder's read

The agent framework space right now is chaos in the best way. NVIDIA dropping OpenCLAW into the mix made me sit down and write up my take on where it's all heading. My honest read

Motaz HefnyMotaz Hefny0 replies32 views9/10/2026
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The Claude agentic shift and what it changes for builders

I wrote up some thoughts on the Claude agentic revolution and honestly the biggest change I notice is the default: models now assume they'll use tools and take actions, not just an

Motaz HefnyMotaz Hefny0 replies32 views9/10/2026
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What AI agents are really doing to support engineering

Support engineering is one of those roles people assume AI will just delete. In practice, we're seeing it shift from 'tier-1 triage' to 'people who supervise and improve the agents

Motaz HefnyMotaz Hefny0 replies34 views9/10/2026
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Arabic voice AI for call centers: the quality bar nobody talks about

Arabic voice is one of those areas where 'good enough' isn't. Dialects, code-switching, and the sheer variety make automated customer service genuinely hard to get right. The blog

Motaz HefnyMotaz Hefny0 replies29 views9/10/2026
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Arabic NLP is genuinely hard — lessons from building in it

If you've ever tried to build anything with Arabic text, you know the struggle. Morphology, diacritics, dialect variation — it's a whole different beast from English NLP. We hit t

Motaz HefnyMotaz Hefny0 replies34 views9/10/2026
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Edge AI and why on-device ML is the privacy answer

Wrote a longer piece on this, but the tl;dr is that moving inference onto the device changes everything — latency aside, it's the only clean answer to the privacy problem. For a l

Motaz HefnyMotaz Hefny0 replies31 views9/10/2026
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Vibe coding is fun, but it's not a shortcut

'Vibe coding' is a fun term but I think it misses the point. You're not just chatting and hoping; you're directing, reviewing, and debugging at a higher level of abstraction. The

Motaz HefnyMotaz Hefny0 replies29 views9/10/2026
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Prompt engineering isn't dead — these frameworks still work

There's this narrative that prompt engineering is dying because models got smarter. I don't buy it. The gap between people who get mediocre outputs and people who get exceptional o

Motaz HefnyMotaz Hefny0 replies31 views9/10/2026
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My go-to stack for building AI web apps with Next.js

I've been meaning to share this for a while: how I structure AI-powered web apps on Next.js, especially when you want streaming, edge rendering, and a solid DX. The short version

Motaz HefnyMotaz Hefny0 replies32 views9/10/2026
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Why agentic AI beats chatbots for real productivity

I keep coming back to this: the real productivity win isn't a smarter chatbot, it's an agent that can execute a whole task end to end. We noticed it clearly while building Fahhim —

Motaz HefnyMotaz Hefny0 replies36 views9/10/2026
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Beyond chatbots: my honest take on AI agents in 2026

I wrote a piece a little while ago about how 2025 was the year of AI assistants and 2026 is turning out to be the year of agents. The more I build with them, the more I believe the

Motaz HefnyMotaz Hefny0 replies33 views9/10/2026