AI Engineering
Practical ideas and tools for building with AI.
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This reading list brings together items from the sources selected for AI Engineering. Open each item at its original source for the complete article, episode or video. This is a selection of current coverage, not a complete archive.
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You cannot tell which parts of your software should stop calling an LLM. My Jev guide has a prompt that scans your projects and names them
Software is about to get intelligent in very different places.
Cross-Substrate Authority Moves to Runtime
The *Beyond Agent Harnesses* paper names a production failure that ordinary workspace inspection misses: an agent can see the same files and memory while
Executive Briefing: Where Your AI Money Actually Goes (+ the Token Saver Guide and the 15 Changes I Use)
At Dreamforce, Salesforce’s Rohan Kumar told me about a customer who had challenged him on something a lot of people are feeling. The customer had been hearing that AI was going to change everything. Meanwhile the products looked much the same. How were those two things supposed to fit together?
Hyper-Tau Bench Tests Agent Building
Hyper-Tau Bench changes the unit of evaluation from an agent using tools to a coding system building a deployable customer-service agent [Hyper-Tau
Can agents buy from your product? Three questions that tell you. Plus: Nate’s Library MCP
Some of the decisions that determine whether agents can use your product are being made as fraud decisions, pricing decisions, and onboarding decisions. They may never show up in a meeting about AI strategy.
AI Skills with Matt Pocock
Matt Pocock explains how he uses AI coding skills and agents to plan and build software, and why engineering fundamentals matter more than ever.
Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC
We sit down with AIUC’s CEO on their Series A!
How to Build a Coding Agent with Nico (Amp Code)
The core loop, harness engineering, and getting more from the agents you use
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