Author: drweb

Ornith, a new family of open source LLM models from the DeepReinforce research collective, takes a novel approach to executing coding and debugging tasks: It generates an architectural framework to give the user’s harness a structured instruction set – a scaffold – to create an agent to complete the job.Available in a set of four variants, the Ornith family was trained to work comfortably with complex software repositories undertaking complicated long-horizon jobs. Sure, LLMs can do these tasks now – until the job gets too complex. Ornith’s self-generated scaffolding ensures that it doesn’t forget the plot along the way.“The model…

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For the last fifteen years, DevOps did what it was supposed to do. It broke down the wall between development and operations, it made continuous delivery a normal expectation, it made shared ownership of production a cultural default, and it moved software delivery from a scheduled event to a continuous flow. The results reshaped how modern software gets built. They also created a new problem: at enterprise scale, every team ends up practicing DevOps a little differently, and the friction adds up.That is where platform engineering enters. It is often framed as the next movement replacing DevOps, but that framing…

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One of the most common questions executives ask right now sounds straightforward: is the agent reliable enough yet?It feels like the right place to start, but the framing quietly points people in the wrong direction because it assumes something about reliability that has rarely been true in complex systems.When people ask whether an agent is reliable, they are treating the agent itself as the unit of reliability, something you either trust or do not trust in the same way you would evaluate a database or an API.That mindset comes directly from how software has traditionally been built over the last…

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SQL

I’m sure you’ve all heard the tale of Goldilocks and the Three Bears, but I’d like to apply the Goldilocks principle to a database object-namely, a materialized view.You might be thinking, how does that apply to database objects when it comes to things like not too cold, not too hot, or not too heavy, not too light? But bear with me (no pun intended) and we’ll see how all this pans out shortly.Just about every web application has a public page. Often that public page is just the login screen that takes you into the more private parts of the…

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SQL

I type fairly well. Well, I type fast, but I do wear out a backspace key relatively quickly on most keyboards. That and a space bar.AI helps me deal with my issues in a way that I really like. This post looks at a small thing that I appreciate, and it’s why I wish I had a small local model running for more software.This is part of a series of experiments with AI systems.Searching for PostsToday I was searching for some posts. I typed in something and found nothing.Clearly, I mistyped something, but before I fixed this, I alt-tab’d over…

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Harness today is providing DevOps teams with an ability to build and deploy autonomous artificial intelligence (AI) agents that automate the delivery of code to production environments.Trevor Stuart, a senior vice president and general manager at Harness, said the Autonomous Worker Agents eliminate the need for fixed scripts with custom AI agents or ones provided by Harness that run in a sandbox container environment.Via the Harness Model Context Protocol (MCP) Server, a developer using an AI coding tool can assign a task to a Worker Agent, with the result returned to wherever it was triggered. Each agent has its own…

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Every time your server needs to look up a domain name, it sends a DNS request to another DNS resolver. If it’s asking for the same domains over and over, those repeated requests still have to travel across the network, even though the answer probably hasn’t changed. For example, imagine a web application that connects to three external APIs every time someone visits your site. If your server handles thousands of requests a day, it also ends up performing those same DNS lookups thousands of times. That’s unnecessary network traffic and adds a small delay to every request. A local…

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A clean GitHub repository that contains no malicious code can launch an attack and fully compromise a developer’s systems by using indirect prompt injections to trick AI-powered coding agents like Anthropic’s Claude Code into taking steps that hand control to attackers and expose a wide range of secrets.In a proof-of-concept (PoC) attack, Mozilla 0DIN researchers Andre Hall and Miller Engelbrecht showed how chaining a few seemingly routine agent actions can give a threat actor shell command access and persistence on a targeted developer system.In addition, this all happens without any warnings or alerts because the payload doesn’t appear anywhere in…

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