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EP216: RAGs vs Agents
Ask an LLM about your company's data and it will guess. The two patterns that fix this are RAG and agents, and they solve different problems.
May 23
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Build with Claude Code: New Cohort Launch
The first cohort starts in about a week: May 28-29, 2026.
May 22
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A Guide to Async Patterns in API Design
In this article, we will look at each of these patterns in detail, along with their advantages.
May 21
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How Netflix is Using Multimodal AI to Power Video Search
In this article, we will understand how Netflix built this system and the challenges it faced.
May 20
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How Snapchat Serves a Billion Predictions Per Second
For Snap, machine learning is closer to the product itself than a feature on top of it.
May 19
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How Grab is Using AI Agents to Boost Team Productivity
Grab’s data engineering team had a problem that looks familiar to anyone who’s maintained shared infrastructure.
May 18
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EP215: The Anatomy of an AI Agent
An AI agent can be thought of as a simple While-loop.
May 16
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LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 6
Our 6th cohort of Becoming an AI Engineer starts tomorrow, Saturday, May 16. This is a live, cohort-based course created in collaboration with…
May 15
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A Guide To Event-Driven Architectural Patterns
Distributed systems are built out of services that need to communicate, and the simplest way to do that is for one service to call another directly and…
May 14
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High Performance Rate Limiting at Databricks
In this article, we look at how Databricks implemented rate limiting at scale, how they shrank the critical path, and the accuracy tradeoff that…
May 13
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How Figma Upgraded Data Pipeline from Multi-Day Latency to Real-Time
In this article, we will learn what happened as Figma grew and how its engineering team handled the growth in terms of the data pipeline issues.
May 12
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How Pinterest Built a Production MCP Ecosystem
In this article, we look at how Pinterest designed that ecosystem and what they had to get right beyond the protocol itself.
May 11
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