Skip to main content

Posts

Reimagining AI-Assisted Coding for Team Scale in Enterprises

AI coding tools have advanced rapidly, but most are still designed around the individual developer. Their effectiveness depends heavily on a user’s ability to write understandable prompts, preserve architectural coherence across sessions, and identify areas that require additional work. This model works for some engineers, but it is far less dependable for a large organization’s development team, where software must align with defined standards, delivery processes and governance requirements. Today, AI development systems that reduce reliance on individual judgment are coming to market. They bring embedded structure, constraints, and verification directly into the platform. For organizations, customer-facing products and portals, building custom, design-led, mission-critical applications, the question is no longer whether AI can generate code. The real question is what an AI coding platform must look like to enable repeatable, reliable delivery at AI speed. The Limits Of Prompt-Based...
Post a Comment
Read more
Recent posts

Ten Great DevOps Job Opportunities

DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role, it tends to create opportunities for others. The 10 job postings shared this week are selected based on the company looking to hire, the vertical industry segment and naturally, the pay scale being offered. We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration. Dice Booz Allen Hamilton Arlington, VA DevOps Engineer $62,000 – $141,000 Marsh & McLennan Companies White Plains, NY DevOps Engineer $76,800 – $134,300 Vantor Melbourne, FL DevOps ...
Post a Comment
Read more

Cursor’s New SDK Turns AI Coding Agents Into Deployable Infrastructure

For most of its life, Cursor has been an IDE. A very good one. But with the public beta of the Cursor SDK, the company is making a different kind of move — one that should get the attention of DevOps teams. The Cursor SDK is a TypeScript library that gives engineers programmatic access to the same runtime, models, and agent harness that power Cursor’s desktop app, CLI, and web interface. In short, the agents that used to live inside an editor can now be invoked from anywhere in your stack. That’s a meaningful shift in how AI coding tools fit into software delivery pipelines. From the Editor to the Pipeline If you’ve used Cursor before, the workflow is familiar — you interact with an agent in real time, asking it to write functions, fix bugs, or review code. The SDK breaks that dependency on interactive use. Now you can call those same agents programmatically, from a CI/CD trigger, a backend service, or embedded inside another tool. Getting started is a single inst...
Post a Comment
Read more

The Velocity Trap: Why Shipping Faster Is Making Systems Worse

There is a particular flavour of engineering dysfunction that looks, from the outside, like peak performance. Deployments are frequent. Sprint velocity is high. The feature backlog is shrinking. Leadership is pleased. And underneath all of it, the system is quietly rotting. Technical debt compounds with every rushed deployment. Observability gaps widen because nobody has time to instrument the new services properly. The on-call rotation gets noisier every month. But the velocity metrics keep climbing, so nobody sounds the alarm until something breaks badly enough that velocity stops being the conversation. I call this the velocity trap, and it is the most common failure mode in engineering organizations that have adopted DevOps practices without internalizing DevOps principles. The practices say: automate, deploy frequently, iterate fast. The principles say: build quality in, create feedback loops, continuously learn and improve. When you execute the practices without the principles, ...
Post a Comment
Read more

Anthropic Brings AI-Powered Security Scanning to Enterprise Teams With Claude Security

Anthropic has launched Claude Security in public beta for Claude Enterprise customers. The tool gives security teams a way to scan entire codebases for vulnerabilities — and generate targeted patches — without the usual back-and-forth that slows down remediation. It’s a meaningful step forward for teams struggling to keep pace with the growing volume and complexity of security threats. And it signals where AI-assisted development is heading next. From Research Preview to Public Beta Claude Security isn’t brand new. Anthropic first released it as Claude Code Security in February, initially limited to Enterprise and Team customers. Since then, hundreds of organizations have used it in production, surfacing vulnerabilities that existing tools had missed — in some cases, for years. That real-world feedback shaped what’s shipping today. The public beta is now open to all Claude Enterprise customers globally. Access for Team and Max plan users is coming soon. How it Wo...
Post a Comment
Read more

Documentation is Dead. Long Live Documentation.

I’m going to say something that will make every engineering manager uncomfortable: Stop asking your team to write documentation . Not because documentation doesn’t matter. It matters more than ever. But because asking humans to document their work after they’ve done it is a process that has failed consistently for thirty years, and no amount of “definition of done” checklists or documentation sprints is going to fix it. The people who know the most write the least. The docs that get written are stale within weeks. And the knowledge that matters most — the decisions, the gotchas, the “why” behind the code — rarely makes it into a document because it’s not the kind of thing you sit down and write. The Documentation Death Spiral I’ve watched this cycle play out on every team I’ve been part of: Week 1: “We need to document this.” Everyone agrees. Someone creates a Confluence space. Week 4: A few pages exist. They’re pretty good. Written by the one person who cares about docs. Week...
Post a Comment
Read more

LocalStack Adds Ability to Visually Debug AWS Apps on Local Machines

LocalStack today announced it has extended its ability to simulate Amazon Web Services (AWS) environments to provide an ability to debug applications before deploying them. Company CEO Colin Neagle said App Inspector makes it possible for developers to debug their applications running in a simulated AWS environment inside a container on a local server. Simulating the full application stack within a local sandbox container makes it possible to better understand application behavior such as data flows between AWS services, event execution paths and resource dependencies that may have been inadvertently misconfigured, noted Neagle. Once discovered, App Inspector then generates a visual representation of the interaction between services in the local environment to make it simpler to debug applications without digging through logs and then needing to upload a fix to a staging server running in the AWS cloud. That capability doesn’t replace the need for an observability platform but i...
Post a Comment
Read more