engineering notes about software architecture from your favourite corps by engineers for engineers.
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How Relational Databases Work. This post talks about how indexes and transactions work on the inside of relational databases. architecturenotes.co/things-…
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All these Rube Goldberg machines around the models are actually making them way worse.
This is both in products and workflows.
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At what point do we stop calling them javascript vulnerabilities and start calling javascript itself a feature-rich remote code execution platform.
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As many of you know every week we send out newsletter and each one has a new image the top each week, this takes a bit of time to design and create with @LumaLabsAI. I am about to produce this in the fraction of the time with tons of artistic control.
lumalabs.ai/uni-1
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Uni-1 feels like a shift from prompting to actually collaborating.
Multimodal + native pixel generation opens up a lot creatively and allows for fast iteration and storytelling accurately.
Curious what people build 👀 lumalabs.ai/uni-1
Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.
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America outsourced manufacturing, then the skills to design what gets manufactured. Software is next.
mahdiyusuf.com/the-journey-w…
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I built more with AI agents in two months than the previous year. I used almost none of it. The real productivity gain isn't building—it's using.
mahdiyusuf.com/your-agent-is…
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Why your coding agent keeps undoing your architecture
mahdiyusuf.com/why-your-codi…
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Wrote something about the importance of the code generation and library use in the context of agents.
mahdiyusuf.com/agents-didnt-…
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Building GenAI infra isn’t theory—it’s hard-won experience.
Learn from 60+ engineers who’ve scaled LLMs, vector stores & RAG pipelines at QCon SF 2025.
What worked. What failed. What to avoid.
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Architecture Notes Weekly: Trio out now!
Why pgvector might not cut it in production
How bloom filters fail at scale
Why LLMs can’t replace hands-on learning
Plus: slashing cloud costs and Postgres as a lakehouse system
Join thousands of engineers! Don’t miss out 🚀
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Building GenAI infra isn’t theory—it’s hard-won experience.
Learn from 60+ engineers who’ve scaled LLMs, vector stores & RAG pipelines at QCon SF 2025.
What worked. What failed. What to avoid.
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