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Run your customer auth with AI agents (Sponsored)
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Coding agents are here to stay, but vibe-coding auth is dangerous business. Connect your AI assistants to the Descope MCP server instead!
This remote MCP server connects agents to the Descope identity platform, giving them the ability to read docs, inspect project config, manage users and tenants, configure authentication flows, review audit logs, and make changes to your identity infrastructure. All through natural language and from a single session.
Descope is trusted by thousands of businesses including GoFundMe, GoodRx, Linktree, and Databricks.
This week’s system design refresher:
How to Run LLMs Locally (Youtube video)
The Typical AI Agent Stack, Explained
Understanding Git Reset Modes
How NAT Works
Final Week to Enroll: Build with Claude Code
We’re hiring at ByteByteGo
How to Run LLMs Locally (Great For Learning and Privacy)
The Typical AI Agent Stack, Explained
Most people think an AI agent is just a clever prompt and an LLM. The reality is much deeper. There's an entire architecture working behind the scenes to make it all run.
The diagram below shows the full AI Agent Stack. At the core is the Agent Runtime that runs a ReAct loop, and three other layers feed into it.
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AI Agent Runtime: The LLM thinks about what to do, picks a tool, observes the result, then reflects and decides the next step. This loop repeats until the goal is reached.
Model Layer (the brain): The underlying LLMs that power reasoning.
Tool Layer (the hands): How the agent interacts with the real world: search, APIs, code execution, data access.
Memory Layer (the notebook): Short-term working memory for the current task, long-term semantic memory for knowledge, and transactional memory for state.
Wrapping everything is the Observability & Safety Layer. This is what keeps agents debuggable, evaluable, cost-aware, and safe in production.
Over to you: Which layer of the stack do you think is the hardest to get right in production?
FeatureOps Summit 2026 - Feature management in the AI Era (Sponsored)
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Speed without control is a false economy. As AI code-generation accelerates software delivery, the FeatureOps Summit 2026 is here to ensure that when we ship more, we break less. This premier virtual event brings together engineers, architects, and product leaders from companies like Wayfair, Visa, Mintlify, Lloyds, and many others, to explore the infrastructure of fearless delivery.
Key Themes:
AI Safety Nets: Guardrails for the flood of automated code.
Edge Resilience: Sub-millisecond evaluation at scale.
Continuous Flow: Moving past the “fixed-release” mindset. Register today to master the tools and patterns required for a fail-safe release environment.