Noel Wilson, Intelligenic’s CEO, has had recent discussions on vibe coding. In those discussions, he has often said that context is key to successfully using AI in software development. Without it, even the most advanced models are just guessing. When we talk about successfully “vibe coding,” we aren’t just talking about typing a few keywords…
Sprint planning has always walked a fine line between strategy and guesswork. Estimating how much work a team can complete in a sprint often relies on gut feel, optimism, or outdated velocity charts. The result? Overcommitment, missed deadlines, and frustrated teams. But what if sprint planning could be precise, predictive, and data-driven? With AI-assisted estimation,…
The future is bright in ProdOps and its just getting brighter through the use of gen AI revolutionizing the process to help us build better products faster
In today’s world of microservices, containers, and cloud-native architectures, software systems are more distributed—and more complex—than ever before. When something breaks, figuring out why can feel like chasing smoke in a hurricane. Traditional debugging is time-consuming, reactive, and often reliant on tribal knowledge. Engineering teams lose hours (or days) combing through logs, dashboards, and traces…
A guide for recent grads entering an AI-powered engineering landscape. Congratulations—you’re stepping into the world of software development during one of the most transformational times in tech history. Gone are the days when engineers wrote every line of code manually, ran tests late in the cycle, or waited days for feedback. Today, AI is woven…
How AI is Reducing Onboarding Time and Unlocking Legacy Systems Every engineering team eventually runs into the same problem: “What does this code actually do?” Whether you’re onboarding new developers, inheriting a legacy codebase, or integrating with a monolith built years ago, understanding a complex system can feel like archaeology with no map. Documentation is…
Artificial intelligence is transforming Agile software development. As AI becomes a proactive partner in the SDLC, teams must rethink core Agile values—from collaboration and working software to responsiveness and planning. This article explores how human-AI synergy is reshaping roles, rituals, and metrics, and what a future Agile Manifesto might look like in an AI-augmented world.
Why Responsible AI Needs to Be a First-Class Citizen in Your Development Lifecycle As artificial intelligence continues to revolutionize software development—from code generation to predictive testing and deployment automation—it’s easy to be swept away by the promise of speed, scale, and efficiency. But with this power comes a sobering truth: AI is only as responsible…
In today’s software landscape, staying aligned on strategic goals is tougher than ever. Product and engineering teams move fast, operate in sprints, and juggle multiple priorities. It’s no surprise that Objectives and Key Results (OKRs) often fall out of sync with the actual work being done. The good news? AI is changing that. The Challenge:…
Vibe Coding: A Powerful Tool, Not a Silver Bullet Vibe coding is everywhere right now. Some are hailing it as the future of software development, the answer to skyrocketing dev costs, and the cure for slow-moving projects. The reality? It can accelerate development, but only if it’s used wisely. Treat it as a savior, and…