We got married in 2021. A product manager marrying an engineering manager. No small task. Our wedding was a self-imposed series of exhausting days and meticulous planning marathons. The product manager decided what needed to be done. The engineering manager decided how we’d pull it off. Timelines, dependencies, stakeholders, risks, last-minute changes—typical stuff for software...

Everyone thought Microsoft was dead. Windows was fading. Apple won. Google won. Then a new CEO quietly spent ~$125 billion buying companies and another ~$13 billion+ investing in companies. Companies he was never supposed to buy or invest in. February 2014: Satya Nadella becomes CEO of a dying company. His first big move? In September...

AI was supposed to make software development faster. Engineering teams didn’t expect that adopting more AI would also mean spending more time validating, cross-checking, and stitching together its outputs. Yet this is the reality in most organisations today.  Slack AI condenses conversations, ticket generators expand requirements, code assistants propose alternatives, and teams still lack the...

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...