AI is letting teams ship in hours what took days. That part is real.But AI is also quietly creating a second problem: it forgets why. When teams move fast with LLMs, agents, and “just prompt it,” they often don’t move the context with the work. The intent, the constraints, the pricing rule, the target persona...

Software rarely fails because compilers misbehave. It fails because of context debt—the widening gap between what people meant, what teams heard, and what systems will actually hit once the code ships. Anchoring on the first estimate, framing problems as solutions, over-trusting tools, and missing constraints all compound that gap. At Brew, we treat context debt...

For the last 18 months, teams have rushed into AI-assisted coding—and wondered why “developer velocity” spikes on day one yet quality, context, and maintainability lag by week three. The uncomfortable truth: AI makes you faster at going in whatever direction you’ve chosen. If the direction is fuzzy, you just accelerate drift. Spec-driven development is the...

“Describe what you want, let the AI write it.” That’s vibe coding in a sentence. It’s fast, creative, and addictive. But without system context, vibe coding becomes roulette: sometimes you ship magic; sometimes you ship maintenance debt. BrewHQ fixes that—by feeding your AI the right context at the right time, then scaffolding the work into...

Chapter 1 – “Ship It Yesterday” It’s 11 p.m. Sam is your quintessential senior engineer—the one with enough terminal tabs open to warrant a second graphics card. It’s late, product has pinged: “Need single-sign-on for the big demo tomorrow—should be simple, right?” Sam fires up VS Code, pops in an energy drink, and cues up...

A System Too Fast for Its Own Good In times where AI can write your code, the real challenge isn’t speed – it’s building with context. Software development has never moved faster. AI coding assistants like GitHub Copilot generate boilerplate in seconds. Low-code platforms let business users deploy features without waiting for IT. Agile teams...

Every engineering team has faced it: a seemingly minor change spirals into a production nightmare. A quick fix triggers a chain reaction, breaking interconnected systems, delaying releases, and flooding support channels with urgent tickets. What was supposed to be routine turns into a costly fire drill.  At the heart of this chaos lies impact analysis...

Software development relies on a delicate balance between innovation and stability. Every change – a new feature, a system upgrade, or an architectural shift – can disrupt operations, strain resources, and introduce unforeseen risks. Yet, many teams push changes forward without fully understanding their broader impact, leading to costly setbacks and operational inefficiencies. This is...

“An ounce of prevention is worth a pound of cure.” – Benjamin Franklin  Yet when it comes to defining requirements in software and project management, prevention often takes a backseat. Teams rush past this critical step, treating it as an afterthought. The results are predictable and painful: Bad Requirements that cause ballooning costs, missed deadlines,...

2024 was a year full of bold new ventures, disruptive technologies, and, let’s face it, a few spectacular product mishaps. While some companies found themselves tripping over the very innovations they thought would propel them forward, others swung for the fences, only to miss wildly, resulting in billions in losses and a growing list of...