This walks through what a Claude Code Skill actually is, how to install pre-built skills from Anthropic’s marketplace, how to drop a custom SKILL.md file into place by hand, and how to write your own skill from scratch on Linux. Most people assume Claude Code figures out every task the same way, by reading your prompt and guessing at the best approach on the spot. It doesn’t. For anything you do repeatedly, it can reach into a folder on disk, pull out instructions you or Anthropic already wrote for that exact situation, and follow them instead of reinventing the process…
Author: drweb
Every data team eventually hits the same wall. A number on a dashboard gets questioned, nobody can prove who is right, and trust quietly leaks out of the whole system. Good data quality and observability is what keeps that from happening, and over six posts I worked through how to build it, one hard part at a time.Read on its own, each post solves one problem. Read in order, they follow the path a data team walks as it matures: understand the problem, assess the risk, define the fix, build the controls, monitor for what slips through, and respond calmly…
SmartBear this week revealed it is narrowing the divide between coding and testing by integrating its platform with artificial intelligence (AI) coding tools.Sheryl Koenigsberg, senior vice president of product marketing at SmartBear, said integrations with AI coding tools from Anthropic, Atlassian, GitHub, and Amazon Web Services (AWS) will make it simpler for application developers to test code without having to exit the tools they use to create code.Specific capabilities added to the SmartBear portfolio include a SmartBear Model Context Protocol (MCP) server for GitHub and connectors to ReadyAPI and Swagger for developers using Claude Code from Anthropic.The overall goal is…
Anaconda Inc. has acquired Kilo Code, an open-source, model-agnostic platform that embeds artificial intelligence (AI) agents directly into developer workflows.The acquisition integrates Kilo’s rapid-growth community of over three million developers into Anaconda’s expanding enterprise AI-native development ecosystem. The transaction positions Anaconda to secure the entire software development lifecycle, from the developer’s initial prompt to final enterprise deployment.Financial terms were not disclosed.The deal represents a major strategic step in Anaconda’s bid to address a critical industry bottleneck: The estimated 80% of enterprise AI projects that fail to reach production. By combining Kilo’s front-end AI agents with Anaconda’s secure package distribution and…
A static alert at 80% CPU or a two-second response time threshold is an absolute judgment applied to a system that operates in relative terms. However, traffic patterns shift by hour, day, and season. Deployments alter performance baselines. External dependencies introduce latency profiles that no team fully controls. A fixed number stops being a reliable signal the moment conditions drift from when they were configured, and in production, conditions drift continuously.The result is a detection gap that most IT teams know intimately. The alert fires, the incident channel opens, and somewhere upstream a user has already filed a support ticket.…
The cost curve for generating code with AI has moved in one direction, and it has moved fast.What used to require a senior engineer’s full attention for an afternoon can now be scaffolded in minutes, and the price per token for the models doing it keeps falling. By the metric that dominated every early AI productivity argument, the cost of generation, the economics are undeniably favorable and getting more so.But production deployments have surfaced a different cost that the token price does not capture and that the demo environment was never designed to reveal. The cost of giving the model…
Agents have moved from demos to daily work faster than almost anyone planned for. In our State of Agentic AI report, 60% of organizations already run AI agents in production, and yet 40% name security and compliance as the number-one thing holding them back from scaling further. That gap, between what teams have already shipped and what they can safely operate, is the real story of AI agents right now. But what is an AI agent, and why does the term suddenly stretch from a coding assistant to an autonomous research system? The short version is that an agent doesn’t…
We are product focused at Redgate Software. Here is another of our values that focused on this:The text on the next page is: Shipping something amazing is better than creating something average and to budget and on time. We cannot market, sell, manage or account our way to success.We have tried to do that. I’ve used many of our products before coming to work for Redgate. My former partners at SQL Server Central used them extensively as well. Since I have been an employee, I’ve worked with a lot of customers who constantly find value in our products.I think we’ve…
ManageEngine OpManager Nexus enhanced its newly launched hybrid observability platform with a range of powerful AIOps capabilities. OpManager Nexus was launched in April 2026 with the merger of two of ManageEngine’s flagship observability solutions: OpManager Plus and Site24x7. The new platform is unique in the observability market with its dual deployment strategy: You can either install it on-premises, or access it via the cloud.AIOps (artificial intelligence in IT operations) has now become a non-negotiable in the observability platform market. This is not surprising given the effectiveness of AI in managing the vast and complex telemetry data that modern IT architectures…
Releases Welcome to the PhpStorm 2026.2 release overview. This version advances PhpStorm as a platform for your preferred coding agents, models, and AI subscriptions, improves PHP and Laravel support, and delivers productivity gains for working with Git repositories, databases, and the built-in terminal. Download PhpStorm 2026.2 AI in PhpStorm PhpStorm 2026.2 adds native support for more third-party AI providers and gives coding agents even greater access to the IDE’s deterministic features. Agents skills manager AI agents are only as useful as the context they have. When they don’t have knowledge of your frameworks, conventions, and tooling, you end up re-explaining…