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ChatGPT responses in Europe may soon carry a signal users cannot see. OpenAI is rolling out invisible text watermarks for eligible ChatGPT and Codex output in the…
Thirteen thousand internal screenshots from 343 technology companies are sitting in public GitHub repositories because a coding agent could not attach an image to a…
Treat network documentation as versioned infrastructure, not optional project paperwork. Software teams have learned to fear technical debt because a shortcut taken…
Metamorphic testing (MT) is a practical way to generate test cases and verify results when exact oracles are hard to define. Metamorphic relations (MRs)are fundamental…
One of the most interesting parts of my role as a cloud solution architect is working directly with customers as they move from experimentation to production. The…
AI coding agents are moving software automation beyond code completion toward systems that can inspect repositories, choose tools, edit files, execute tests, and iterate…
Agentic software is often described in a fairly simple way. Give an LLM a set of tools, describe a goal, and let the model work through the problem. That works…
A coding agent becomes useful to an engineering team only when its output is more than plausible source code. The real unit of work is a reviewable patch: a small…
Before large language models became the face of AI, most of machine learning was about one thing: sorting stuff into buckets. Is this email spam or not spam? Is this…
QuestDB is well-suited for applications necessitating high-performance ingestion and SQL access to time-oriented data. It is especially useful in financial markets…
Apache Phoenix provides an open-source SQL interface over Apache HBase, combining the power of NoSQL horizontal scaling and sharding with SQL simplicity for low-latency…
The Foundry model catalog covers a lot of ground, but it doesn't cover everything. If you need a model trained on your own proprietary, tabular data, a churn predictor…
Large AI evaluations rarely fail at convenient boundaries. A batch may contain tens of thousands of prompts, retrieval cases, tool-use scenarios, or judge-model…
Apache IoTDB is well-suited for environments where time-series data from connected devices and industrial systems is generated continuously and requires efficient…
The Illusion of a Single Database In a traditional monolithic application, maintaining data consistency is straightforward. If you need to create a new order and update…
OpenSearch is an open-source, distributed search and analytics suite derived as a fork of Elasticsearch and maintained under the Apache 2.0 license. When it comes to…
Most enterprise AI programs do not fail because the model is too weak. They stall because the data underneath the model is fragmented, delayed, poorly documented, or too…
Today, every vendor offering BI solutions has incorporated a chat box. Whether you use Copilot or some other natural-language interface that connects you to a data…
Testing how a WebRTC application behaves when the network fails is usually done by hand: open two browser windows, turn off Wi-Fi, count to ten, turn it back on, watch…
When model providers announced 1-million-token and multi-million-token context windows, the software engineering world celebrated. The immediate narrative was simple and…
How It Started This started from a plain problem: I kept hitting token limits at work. I was using Claude Code for real engineering work, and I was burning through…
You're about to rename a column. Five minutes of work. Someone asks the obvious question first: who does this break? In a healthy Snowflake account, that's a query. In…
Platform migrations are not only technology problems. They're visibility problems as well.
Enterprise AI is increasingly moving beyond clean, structured datasets and into the much larger world of documents, files, images, forms, emails, reports, contracts…