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For a long time, I recorded one latency number for every LLM request: latency_ms = response_finished_at - request_started_at It looked useful. I could calculate an average, add a p95 chart, and see whether a model was getting slower. But whenever a u

When I started building PilotStack, my goal wasn't to create another software directory. I wanted to answer one simple question: How can you build a content-heavy website that stays fast, scalable, and easy to maintain? A few months later, the projec

The problem with "just add more workers" Most Spark performance issues on Databricks aren't solved by scaling the cluster - they're caused by shuffle and skew , and no amount of extra nodes fixes a badly partitioned join. This post builds a realistic

AI can finish a feature faster than we can absorb its assumptions. The practical review question is not only ‘does this work?’ but ‘could I explain why it works, where it can fail, and what it changes tomorrow?’ A useful review loop starts narrow and

Why "search" isn't enough anymore A plain RAG pipeline - embed a query, hit a vector index, stuff the top-k chunks into a prompt - works fine for a single-turn FAQ bot. It falls apart the moment you need: Multi-turn memory ("what about last quarter?"

I've been building SDTK , a toolkit that puts real gates in front of AI-written code instead of trusting the first draft. To show what that actually buys, I pointed it at something visual and free: six "stop-scrolling" hero sections - a WebGL ember a

Let me start with a question. If a stranger handed you a USB drive and said "plug this in, it just organizes your files," would you do it? Probably not. Most of us have had the "don't plug in random USB drives" lesson drilled into us for years. Here'

Two questions sent me down this path. Question one: what is an "AI agent," really? Most job posts mention them. I had not looked into it deeply, and from the outside I could not tell what it referred to. Is an agent a different endpoint? A different

I used to post the roadmap. The coming-soon screenshot, the "building something new" teaser, the thread narrating a feature I had not finished. It felt like momentum. Building in public, the advice everyone gives: share the journey, bring people alon

I wrote a suite for one class of authorization failure, scored my own gates with it, and a reviewer showed me that a gate modelling nothing could beat a real one. Here is the suite, the three gaming strategies it now rejects, and the exact boundary o

Sooner or later, someone across the table asks the question. A client's security team. An auditor. An acquirer's diligence engineer. A regulator. Or you, at two in the morning: "Why is this agent allowed to do that?" Not does it work - demos answer t

Here is the kind of sentence that should keep a team up at night: "At this clarity grade, you won't see a thing with the naked eye." Our assistant produced it while explaining a diamond. The grade it cites is real - SI1, printed on the stone's lab re

A dice roller looks like a one-line project: const value = Math . floor ( Math . random () * 6 ) + 1 ; That line is enough to draw a number from 1 through 6. It is not enough to make a useful probability tool. The interesting engineering begins when

Claude Code Cost Control in Production: Token Budgets, Caching Strategies, and What the Billing Dashboard Hides This article was written with the assistance of AI, under human supervision and review. Most Claude Code cost overruns stem from invisible

Forget YouTube videos-frontier physical AI models need multiple camera angles, dense annotation, and soon, brain wave readings.

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I've built dozens of dashboards. Most have been ignored. A few have been used constantly. The difference isn't the graphs. It's the design. The 3-second test A useful dashboard answers 'is everything OK?' in 3 seconds. Not 'let me scroll through 40 g

I spent the last while building a prompt-injection detector trained on 78,000+ attack samples. Here's what surprised me, and why I ended up going the unfashionable route. The trendy approach is to use an LLM. I didn't. The default move in 2026 is "us

I wrote about the Electricity Planning Engine a little while back, including a timezone bug that made a correct price look "not found" after a database round trip. A few days later, Alex Shev left this comment: Timezone bugs are brutal in planning en

GitOps for AI Agents: Treating Tool Configs and Memory Like Production Infrastructure Stop managing AI agent configurations as fragile scripts. Adopt GitOps principles for AI, treating your tool configs and memory as version-controlled, auditable inf

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The bug that passes every test A refund agent ships v2. A customer asks for a refund. The agent replies: Your refund of $48.20 has been issued and will appear in 3-5 business days. That is exactly what v1 said. The amount is right. The tone is right.

Hotwire and Turbo Streams have become the default answer for real-time applications in the Rails ecosystem. They are great for HTML-over-the-wire setups, but what if you prefer building your frontend with component frameworks like Svelte , paired wit

AgentMail. Cloudflare Email Service. Resend's agent SDK. Every AI SDR startup on Product Hunt this month. The pitch is always the same: "one API call and your agent has an inbox." Cool. I went and measured the ground they're all standing on. 671,693