Writing / Tag / 9 of 72
LLM Engineering
Every essay tagged LLM Engineering, newest first.
LLM engineering is where I file the essays that are about a specific model capability or protocol change and what it does to a system built before it existed. Extended thinking arrived and the invoice doubled because every easy query bought a reasoning path it never used. Million-token windows arrived and quality across the window turned out to be uneven. A new model dropped and someone bumped the string without running an eval. The MCP spec went stateless and most servers did not.
These are not failures of the models. They are the normal cost of building on a surface that moves every few weeks, and the essays are about keeping your own system stable while it does.
Start with reasoning effort budgeting, which is the clearest example of a capability that should be a per-query decision rather than a global switch. Then the model upgrade migration gate for a repeatable way to adopt a new model, and the long context essay for measuring effective context instead of trusting the advertised number.
September 2026
Your Easy Queries Are Paying for Thinking They Never Use
You turned on extended thinking because it lifted your quality numbers, and a quarter later the invoice had doubled.One Flaky Step Is Sinking Your Agent. Vote It Out.
You measured your agent and found one step that flips between right and wrong on the same input.Your Agent Scores 90% on Evals and Still Fails Customers
A 90% pass@1 eval score feels like a passing grade, and then production hands you a stream of complaints anyway.Your Agent Fails the Same Way Every Week and Learns Nothing
Your agent trips over the same edge case every Monday, you patch the prompt by hand, and next Monday it trips again.Your AI Agent Shares One API Key. That Is the Problem.
A recent survey found 93% of AI agent projects still authenticate with an unscoped API key, and most agents end up with more access than they need.MCP Went Stateless. Your Server Still Holds Sessions.
The 2026-07-28 MCP spec dropped the initialize handshake and the session id, which means any request can now land on any replica behind a plain load balancer.Your Model Advertises 1M Tokens. It Starts Forgetting Around 600K.
A million-token context window landed in half the models this week, and the reflex is to stop retrieving and just paste everything in.A New Model Dropped This Week. Don't Just Bump the String.
Four frontier models shipped in the last 72 hours and your instinct is to change one env var and redeploy.