The full-stack enigma
Early-stage startups want full-stack unicorns who can do it all on a tight budget, but asking one dev to wear every hat is less strategic hiring and more duct-taping a rocket and hoping for the best.
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On the imminent retirement of the keyboard - the future of software engineering
By 2030, nobody will write code anymore and here is why. The difference between agent-powered engineers and those who handcraft code is huge. Here's our prediction on software engineering.
The hidden cost of multiple repositories
Go for one codebase or multiple repositories? A question multiple CTOs and technical founders have asked. It can be a surprisingly expensive decision nobody warns you about.
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How AI is quietly killing open source
LLMs generate code on demand, but they do not replace maintainers, communities, or years of shared learning. This piece explores how AI-assisted coding risks fragmenting logic, increasing technical debt, and slowly eroding the open source ecosystem.
A guide to vibe coding vs AI-assisted development
Vibe coding or AI-assisted development? The choice isn't binary, but getting it wrong at the wrong stage will cost you. This piece breaks down when to embrace speed over architecture, when to take back control, and why the best teams don't pick sides.
Communicate or be micromanaged - the engineering edition
Micromanagement rarely starts with bad intent. It usually starts with silence. When nobody knows what you are working on, meetings multiply, trust erodes, and focus disappears. This piece shows how clear, boring communication is your best defence.
The value of code review
Code reviews improve more than code quality. Done well, they shape better problem-solving, expose edge cases, and spread knowledge across teams. Learn how small, focused reviews and AI support help teams ship faster with confidence.
Your startup does not need more engineers, it needs fewer mistakes
Hiring to fix velocity often multiplies your problems. Reduce avoidable mistakes first: tighten decision-making, align product and engineering, and put foundations in place that make a small team dangerous in the right way.
Getting started with performance testing
Performance bugs erode trust quietly until users explode. Three pragmatic steps help you catch slowdowns early: explore real bottlenecks with Sentry, test with production-sized data, and add lightweight API load tests.
