Development KPIs: From Traditional Baselines to AI-Assisted Measurement

Part 1: Traditional Development Baselines Before we can measure the impact of AI-assisted development, we need to establish what “normal” looks like in traditional software development. These baselines vary by team maturity, domain complexity, and technical debt load, but understanding these ranges gives us the foundation for meaningful AI comparison. Code Quality Metrics Traditional development … Read more

The Microwave Didn’t Kill the Stove: Why AI Won’t Replace You Either

The evolution of cooking technology offers a remarkably clear view of how innovations layer rather than replace, each finding its niche rather than destroying what came before. And it provides an unexpectedly apt framework for understanding how AI is currently integrating into our work and lives. Consider the microwave’s arrival in homes during the 1970s. … Read more

Progressive Web Apps vs Native Apps: What AI Development Tools Don’t Tell You

The debate between Progressive Web Apps (PWAs) and Native Apps extends far beyond technical implementation. AI-powered development tools promise that anyone can build apps now, making technical expertise seem obsolete. But this promise comes with hidden costs, security risks, and dependencies that non-technical users don’t discover until it’s too late. While developers focus on coding … Read more

Retailers Need to Prepare Now for the 2026 Holiday Season

As artificial intelligence reshapes how consumers discover and purchase products, retailers face a critical infrastructure decision: how to make their content accessible to large language models. The llms.txt file—a standardized format that helps AI systems find and present targeted content—has emerged as an essential tool. However, the technical realities of AI training cycles mean retailers … Read more

When Hackers Hack the Hiring Bots: The Dark Art of ATS Sabotage

It’s midnight. Somewhere in a coffee-stained basement, a figure hunched over a glowing screen is *not* breaking into the Federal Reserve. No, tonight’s mission is more ambitious: tricking Rob, the semi-sentient Resume Sorting Algorithm who stands between them and the temp job at DeadCo Corp. This is the underworld of ATS hacking—where resumes become malware … Read more

How AI Models Work

Briefing: How Artificial Intelligence Models Work Executive Summary This document provides a comprehensive overview of Artificial Intelligence (AI) models, synthesizing their fundamental concepts, operational lifecycle, key challenges, and future trajectory. AI enables machines to perform tasks requiring human intelligence, primarily through Machine Learning (ML) and Deep Learning (DL). ML algorithms learn patterns from data without … Read more

AI Trends and Developments in 2025: The Most Important Advances

Agentic AI: The Rise of Autonomous Systems The most significant trend in 2025 is the emergence of agentic AI – autonomous AI systems that can plan, reason, and execute complex tasks with minimal human oversight[1][2]. Unlike today’s chatbots and assistants that require constant prompting, agentic AI can work independently to complete multi-step workflows[1]. Deloitte predicts … Read more

The Anatomy of AI Project Failure

A vast majority of AI projects fail to achieve their intended objectives, deliver measurable business value, or even reach production. Success rates are often reported as below 10%, with some studies citing 80–95% of AI projects failing to reach production or provide measurable profit/loss impact. I. Core Reasons for AI Project Failure A recurring set … Read more