A few years ago, the most powerful AI tools in a developer’s workflow helped write code. Today, they can do much more. It’s increasingly common to hand an AI agent a task like: Read this repository, refactor the authentication service to match the new specification, run the test suite, and open a pull request if everything passes. The agent reads files, analyzes dependencies, executes commands, modifies code, and interacts with external systems. In many cases, it can complete meaningful chunks of engineering work with minimal supervision. The shift sounds incremental until you realize something important: We’re no longer delegating suggestions.…
Author: drweb
For years, I never gave GNU coreutils much thought. They’re the standard Linux commands like ls, cp, mv, cat, sort, and wc that come with almost every Linux system. They just work, so I always assumed there wasn’t much to improve. That changed a few months ago when I was analyzing a huge Apache log file on one of my TecMint servers. I was running sort and wc on several gigabytes of data, and some commands took longer than I expected. That made me wonder if there was a faster or more modern alternative. While looking around, I came across…
A security flaw in GitHub’s months-old GitHub Agentic Workflows allows attackers to use an indirect prompt injection to trick the AI agent into grabbing information from a private repository and quietly posting it in a public repository belonging to the same organization.The vulnerability, dubbed “GitLost” by Noma Security researchers, is only the latest example for developers and security teams of the risks that come with AI agents and how vulnerable they are to deceptive tactics by threat actors that often – as in this case – don’t need coding skills, access, or stolen credentials to run such campaigns.This is different…
Artificial Intelligence is pushing DevSecOps into a new phase where security is no longer just about detecting vulnerabilities, but increasingly about resolving them automatically within the flow of software delivery. As many organizations are discovering, DevSecOps historically gave teams visibility into risk. AI is now turning that visibility into automated remediation. This evolution has taken place across four phases.From Discovery to ActionOne of the most significant shifts is that security tooling no longer stops at identifying problems. AI systems can detect an issue, recommend a fix, open a ticket, update code, or prepare a pull request for human approval. Traditional…
Remote (USA) Full-Time Senior Laravel 12 / PHP 8.2 Hospital Staffing Partners is a healthcare staffing company based in Tampa, Florida. Our web platform is where the business actually runs, and we’re looking for a senior engineer to help build and maintain it. This is a hands-on Laravel role: a large, mature production application, real users, and real data that has to be right. The role You’ll own and extend a substantial Laravel 12 application in production. It’s a backend-heavy, full-stack role on a small team, so you’ll work across the whole request lifecycle: data modeling, business logic, background processing,…
The conversation around AI agents has evolved remarkably quickly. Not long ago, most organisations were still experimenting with prototypes and controlled use cases, trying to understand where these systems might fit within existing operations. Today, that conversation has changed. Agents are increasingly being deployed into production environments where they can write code, interact with customers, query databases, trigger workflows and perform tasks that previously required direct human intervention. As adoption accelerates, much of the discussion continues to focus on capability.Organisations want to know how much productivity agents can unlock, how much manual work they can remove and how quickly they…
I had a fresh install of macOS Sequoia and typed python3 in a fresh shell. The system found one, ran my script, and returned a version. So far so good. Then I asked the script for sys.executable, and the answer was not the path I expected. The python3 on my PATH and the python3 Python was using were two different binaries, and the way to untangle them is the topic of this guide. Where macOS puts Python 3 Apple ships a system Python 3 with macOS. The exact location depends on whether you installed a second Python 3 yourself and…
You write a script, hit run, and Python throws NameError at you. The traceback names a symbol you thought you had defined. You scroll up, the definition is right there, and the error still fires. You do not need to guess which case you are in. Read the traceback, look at the line number, and check each common cause in order. Python uses the word NameError for one specific thing: you tried to use a name, and the interpreter could not find anything bound to that name in the scope it was looking in. The fix depends on which cause…
Modern software development moves at a pace that would have been unthinkable a decade ago. Organizations push updates on demand, respond to vulnerabilities within minutes, and integrate new features at a relentless pace. This acceleration is driven by continuous integration and continuous delivery (CI/CD).To understand how CI/CD reshapes the security posture of modern organizations, it’s helpful first to define it clearly: What is CI/CD and how does it transform the way software is built, tested and deployed?What is CI/CD?CI/CD refers to a set of tools and practices that automate the integration, testing, and delivery of software. The “CD” portion of…
Python raises a TypeError when a function call passes a keyword argument the function’s signature does not accept. The traceback names the offending argument so you can fix the call site, the function definition, or both. An unexpected keyword argument TypeError means the function definition does not name the argument you passed. The fix is to align the call with the signature, accept the argument with **kwargs, or remove the argument at the call site. Reproducing the error Define calculate with one positional parameter and call it with an extra keyword argument: import math def calculate(num): return math.factorial(num) ans =…