If your AI coding agent keeps reading the same files every time you ask a question, it’s wasting time and tokens on work that could be answered almost instantly. I’ve been using Claude Code and a few other AI coding agents with a medium-sized Django project for the past few months, and I kept noticing the same problem. For example, if I asked, “What calls this function?“, the agent would start searching through a large part of the repository. It would consume thousands of tokens, take longer than necessary, and sometimes still miss a function call hidden deep inside the…
Author: drweb
Lightrun is providing early access to an ability to verify whether a pull request (PR) will actually run in a production environment as part of its artificial intelligence (AI) platform for automating site reliability engineering (SRE) workflows.Company CTO Leonid Blouvshtein said the Runtime Aware PR Verifier enables DevOps teams to assess the impact a PR will have on a live production environment before it is deployed.At the core of the Lightrun platform is a Runtime Context engine that enables DevOps teams to understand how code truly behaves. Armed with those insights, it becomes possible to both identify issues and bottlenecks…
It wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but the real decisions? Still up to the engineers.That’s changing now.AI agents are stepping right into the heartbeat of operations. They can peek into monitoring platforms, tweak cloud settings, kick off deployments, change configs, restart services, you name it. For a lot of teams, giving AI this kind of access feels like the next obvious step in automation. If an AI finds a problem, why not let it fix…
By way of background, a while back I did video called “My New Favourite Join” on the LATERAL clause.The reason I like it is that it lets you solve a problem by composing little pieces together rather than writing one enormous query.Now this post is not about LATERAL, but I’ll show a quick LATERAL example to show how it leads to a cool new 26ai SQL enhancement. I’ll start with a simple example. SQL> select d.deptno, d.dname 2 from dept d; DEPTNO DNAME ———- ————– 10 ACCOUNTING 20 RESEARCH 30 SALES 40 OPERATIONS 4 rows selected. Suppose we decide we…
Chinese AI developer Z.ai has introduced ZCode, a desktop application that automates software development tasks, positioning the platform to compete with established coding platforms from Anthropic, GitHub and Cursor.The company built ZCode, which it calls an Agentic Development Environment, around its recently released GLM-5.2 LLM. Rather than functioning as a traditional coding assistant that responds to individual prompts, the software manages multi-step development projects by planning work, modifying code, running validation tests and running successive tasks with limited user intervention.Available for Windows, macOS and Linux, ZCode also supports third-party AI models through bring-your-own-key configurations. Developers can monitor long-running coding sessions…
Laravel & Wordpress Web Developer
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…
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…
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…
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…