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Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92% of hallucinations before deployment The Problem: Why "Vibe Checks" Fail in Production Three months ago
There is a particular kind of silence that settles over a room when somebody who works inside a frontier artificial intelligence laboratory is asked, off the record, how worried they actually are. It is not the silence of someone searching for an ans
unsqueeze Do in PyTorch? (And Why Your Model Keeps Asking For It)
You passed a single image to your model and got ValueError: expected 4D input (got 3D input) . Someone on Stack Overflow said "just add .unsqueeze(0) " - and it worked. But nobody explained what it did, or how you'd know to reach for it next time. Th
I am building Tansa, a large Bitcoin analysis application using Rails, PostgreSQL, Sidekiq, and AI coding agents. After months of development, the Git repository had accumulated many commits, branches, recovery points, and AI-generated changes. We de
A workflow can complete every visible node and still produce the wrong business outcome. One reason is structural: a multi-step system inherits upstream misses. If every step is only usually correct, the end-to-end success rate is not the average of
If you use Claude, Cursor, or any MCP-compatible AI assistant, you've probably noticed how useful it is when your AI can actually read your notes. I wanted that for OneNote - so I grabbed an existing MCP server, hit a cryptic 401 error, and ended up
Originally published at htpbe.tech . The version on htpbe.tech stays in sync with the latest detection algorithm - refer to it for the canonical text. A fraud reviewer opens a PDF bank statement. The first thing many manual checks look at is the docu
The 400 Bad Request Problem A webhook 400 bad request error hits your logs at 2 AM. Your integration was working yesterday. The provider (Stripe, GitHub, Shopify) is sending data, but your handler is rejecting it with HTTP 400. You've checked the end
A four-year, 15-minute stock backtest is about 140k bars for one stock. With 50 stocks, that is already around 7 million rows before parameter sweeps. If you are preparing features for a model, it is easy to spend 10 minutes just building the data ta
When an automation platform is being retired, the obvious plan is to recreate every node in n8n as quickly as possible. That is also how teams preserve the old workflow's silent failures. A safer migration starts with one representative workflow and
I have spent the past month reading skill libraries, and I kept feeling like I was comparing things that would not line up. One guide would compress six books on legacy code into an ordered playbook. Another would define a seven-phase chain where eac
Designing an experiment service: API design, data modeling, and how to scale it Before any architecture, a shared vocabulary. An experiment is the thing under test - "does the new signup page convert better than the old one." Each version shown to vi
This company is using renewable energy from pig slurry to power decentralized AI data centers, significantly increasing income compared to grid sales.
If you'd rather not clone anything just to see what this is, there's a playground that runs the whole interpreter in your browser - no install required: https://young-developer90.github.io/zamin/playground.html I've been working on Zamin for the past
Claude has, at various points in our working relationship, warmly endorsed: an efficiency statistic fabricated over one too many turns of a massive write-up - oops ("This is perfect... Nice work! 🎉"). A test suite that had never once gone red, becaus
This is a retraction. I built a faceless AI YouTube channel and closed it into a single autopilot loop . Then I tore that loop out and replaced it with eight agents passing tickets , and wrote it up like it was progress. This is what running that com
It all starts with a review question. I was reworking my notes on the Design Patterns book , the Gang of Four one, with examples that all came from the same universe: an online shop. Shipping fees for Strategy, the order for State, stock for Observer
If you work in AI today, you are almost certainly using PyTorch or TensorFlow. They are incredible tools, but they are also massive black boxes. As an AI developer, I realized that relying solely on these frameworks meant I didn't truly understand th
A workflow can finish successfully, pass a JSON schema, and still update the wrong customer. The value is present. The type is correct. The meaning is wrong because it came from the wrong source path. The failure that a schema cannot see Imagine an o
In my first Squirix article , I wrote about why Squirix keeps a strict boundary between the client and the server. Applications use a typed client over gRPC; the server owns cache state, routing, persistence, recovery, and operational endpoints. That
This is my second entry for the DEV x Sentry Bug Smash challenge. Entry #1 was a crash with a confusing error message . This one is the opposite and it is scarier: no crash, no message, no event. Just silence. The bug that sends you nothing smolagent
I removed two listings from a directory site I run. Not for a small reason - they failed the one promise the directory exists to make. The kind of removal you do immediately and double-check. I did double-check. Flipped the flag in the database, load