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The traditional software development life cycle (SDLC) exists for good reasons. Its stages – planning, analysis, design, coding, testing, deployment, and maintenance – are designed...
Artificial intelligence has moved past the era of static tools that merely follow instructions. Today’s AI systems are dynamic, they reason through problems, pull information …...
Image Amazon Web Services recently published a paper defining the AI-Driven Development Lifecycle, or AI-DLC — a reimagined SDLC (Software Developm...
A few weeks ago, I participated in a 24-hour AI hackathon where we built a product using AI. Necessary tools were provided, a large number of engineers participated eagerly, and a...
Choosing an AI IDE in 2026? Compare developer experience, agentic workflows, governance, and cost controls before making a decision.
AI Project Manager: Connecting Data, Models, and Products I've noticed a common scenario many junior team members face: as soon as the company mentions an "upcoming AI project,"...
AI Accelerates Development, But Governance Determines Whether It Reaches Production Over the last two or three years, I’ve watched AI-assisted development move through distinct pha...
1. Why Most AI QA Tools Fail in Production The pattern is now familiar: a team integrates an LLM into their QA workflow, the demo impresses stakeholders, and three months later the...
A working memory architecture for AI agents : preflight retrieves the right skill from a long-term library, a local model executes, & a watchdog reads the trail overnight to up...
Six weeks in, the pilot is stalled. The engineering team built a prototype that works, technically. It processes requests, returns answers, and even hands off … AI Agent Implemen...
Last year, I was working on deploying an agentic AI system to help manage cloud infrastructure at scale. The idea was straightforward: give the agent access to AWS APIs, let it obs...
You are a software engineer. Your craft honed through years of careful practice. Then suddenly, there are these chatbots and agents. Overnight, your colleagues got a new title on L...
Independent agencies have no shortage of AI-powered solutions to choose from. Tools that can reduce manual work, improve speed, and support better decision-making are everywhere in...
AI replaced me. Not the way you think. I'm still a software engineer. But the work I used to do in the office? AI does that now. I got replaced... and became something else. Let...
Agentic SDLC, or agentic software development life cycle, is the next major shift in how I think about building and shipping software. It is not simply AI writing a few lines of co...
We've been running AI agents in production across enterprise cloud support for several years now. I've watched the same pattern play out dozens of times across organizations of eve...
In traditional software delivery, requirements often functioned as an initial alignment artifact. Once development began, implementation, iteration, and testing took precedence. AI...
How agentic workflows can automate architecture debates, compare tradeoffs and produce stronger software designs
Large language models have evolved from simple chat interfaces into autonomous systems capable of planning, reasoning, and interacting with external tools. The next stage of this e...
Notes from an AI video project, and the release cadence that turned one team into the project's owners The most common artifact of an enterprise AI rollout is a dead feedback chan...
Software engineering leaders are increasingly being asked to build AI-powered applications and agents. AI engineering focuses on designing, developing, deploying, operating, and go...
We are living in the golden age of the weekend AI side project. Thanks to agentic engineering and LLMs, the time to go from a blank IDE to a functional local application has droppe...
AI agents!! AI agents!! AI agents is the new buzzword.. they can generate code far faster than any human can review it. Because of this shift in software development, engineering...
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