Most of us here have shipped at least one retrieval layer that worked beautifully in the demo and then quietly failed in production. This is a writeup of the specific failure mode I keep running into, and the extraction step that actually fixes it.
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Most procedural generation threads turn into algorithm shopping lists, and the algorithm is rarely what went wrong. This is a writeup on the part that actually decides output quality, which is the structure you wrap around the random number generator...
Most of us here have shipped at least one LLM feature that started as a chatbot and quietly grew a job queue behind it. That is the moment the architecture stops being a chat loop, and it is worth naming before the refactor picks you instead.
The Ve...
Most of the memory posts here are about getting storage working. This one is about what happens six months later, when it is working and the answers have quietly gotten worse.
If you have shipped an agent that stores what users tell it, you have pro...
Most of us here are already shipping AI-assisted code, and the review side of that has not caught up. This is a write-up of what changes when you stop treating AI review as a single yes-or-no gate and start treating it as a pipeline.
The Volume Prob...
Most of us here have wired a model API into something and watched it work beautifully for one session. This is a writeup of what goes wrong when that something is a game, and what the server side has to do about it.
The Demo Always Works
You drop a...
If you are wiring an avatar or talking-head API into a product, the integration is the easy half. The part that comes back at you later is what the vendor does with the biometric data you are piping through it.
The Data You Are Actually Sending
An ...
Most agent posts here focus on tools and prompts, so this one takes the layer underneath: what actually happens to conversation state between turns. It is the part that decides whether your bot feels like a colleague or a stranger every Monday mornin...
Most of us here have built or maintained something that tracks stock, usually bolted onto an order table that was never designed for it. The domain looks trivial right up until a second sales channel appears, so it is worth writing down where the rea...
Most of us have built an agent that works well for a week and then repeats a mistake it already made once. This is a writeup of how one self-learning multi agent setup handles that problem, because the interesting part is not the model choice, it is ...
Most conversion advice that reaches developers is written for marketers, so it stops at "add trust signals" and never names a file to open. This is the version for the people who actually own the checkout template.
The Number That Sets The Stakes
T...
Most of us here already have a Playwright or Cypress suite running green in CI. This post is about the layer that suite does not cover, and how to bolt it on without drowning the team in false diffs.
Functional assertions confirm that an element exi...
Most of the AI posts here lately are about agents and coding assistants, so this one goes the other way. It is about the quiet routing and scoring work sitting inside almost every app we build, and why a language model is usually the wrong tool for t...
Most of the agent threads here end up arguing about frameworks when the real disagreement is about how much rope the agent gets. This is the model I use when deciding that, written for people who have to ship the thing and then support it.
Autonomou...
Most of us here ship code against model APIs long before we ever open up the layer that produced the output. This is the short version of what that layer is doing, written for developers who want the mechanics without a semester of notation.
One Neu...
Most of us here are wiring agents into real systems now, shell access, database writes, CI pipelines, so the security question stops being theoretical pretty fast. This is the map I keep coming back to when reviewing an agent setup, and I am curious ...
Every dev team I know has a backlog of "can you pull this number for me" requests from the business side. The interesting shift this year is that plain English querying is finally good enough to hand a lot of that work back.
How the conversational a...
Most of us get asked to evaluate an AI tool long before anyone asks us to build one, usually by a founder or an ops lead who already picked a favorite. The questions that decide whether a tool survives the year are engineering questions wearing a pur...
Most of us here have written the same glue script more than once, the one that catches a form submission and pushes it somewhere else, then quietly rots in a cron job nobody documented. This is a look at an open source engine that gives that glue a p...
Most of us treat images as a design problem, paste a URL from a stock site into a template, and move on. That is the part of the stack that quietly creates both legal exposure and slow pages, so here is what actually matters about free images from an...