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Something broke in the AI pricing market between January and May 2026. A year ago, "frontier model" meant "expensive model." Claude Opus was $15/$75 per million tokens. GPT-4 was $5/$15. If you wanted the best coding performance, you paid the best price. The correlation between quality and cost was
Your AI Coding ROI Is Disappearing and Your Dashboard Won't Tell You The dashboard looks great. The delivery numbers don't. Your AI coding dashboard looks great. Acceptance rate up. Lines generated up. Developer satisfaction scores up. Your team is thrilled. Management is impressed. The slide deck p
Snowflake is committing $6 billion over five years to Amazon Web Services for Graviton compute and AI infrastructure, the data The post Snowflake commits $6B to AWS as it pushes deeper into AI appeared first on The New Stack.
During the recent MCP Dev Summit North America held in New York City, The New Stack sat down with Till The post Why MotherDuck refuses to fork DuckDB appeared first on The New Stack.
The Problem We Were Actually Solving Our users werent doing semantic search. They were executing treasure hunts: complex, multi-stage queries where the first phase returned 200,000 candidate docs for phrase matching, and the second phase had to rank them by exact term proximity, metadata filters, an
Introduction Good forecasts help with capacity planning and quieter alerts. But one traffic spike or memory leak can make any forecast useless. The goal is simple: prove your forecast beats a naive baseline and stays reliable under uncertainty. In this post, we compare two forecasting models, Chrono
In metric collection systems, cardinality is a critical concept for balancing performance and cost. I have prepared a 4-step guide on how this balance is established in the real world. In this post, I will explain what metric cardinality is, why it matters, and how we can find the right balance in o
This is a submission for the Gemma 4 Challenge: Build with Gemma 4 TL;DR: Vitreus is a spreadsheet agent that lets you ask natural-language questions of CSV and XLSX workbooks, then uses Gemma 4 to return an auditable JSON action manifest. The manifest can highlight rows, write values, and add formu
This is a submission for the GitHub Finish-Up-A-Thon Challenge I built F1 Intelligence Studio — a full-stack Formula 1 race intelligence dashboard that turns raw telemetry data into a living, breathing visualization of any race from 2024 to 2026. Think of it as a race engineer's war room. Twenty ani
As someone who’s been maintaining Jaeger, I’ve watched users request ClickHouse support consistently over the past few years. With Jaeger The post How Jaeger hit 8.6× compression on 10 million spans with ClickHouse appeared first on The New Stack.
This is a submission for the Gemma 4 Challenge: Build with Gemma 4 Your family generates health data every single day. Steps, sleep, heart rate, blood oxygen, passively, silently, constantly. But when something happens, no one had any warning. As a student doctor, I keep seeing the same thing: famil
Some people will tell you agents will take all our jobs. Others insist they are useless. Leadership at many companies The post What ClickHouse learned from a year of coding with AI agents appeared first on The New Stack.
