Technology Decisions That Affect Growth, Operations, and Enterprise Value
Practical insights on technical due diligence, operational transformation, software architecture, AI, and technology leadership.
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We Need to Be More Honest About Git
We Need to Be More Honest About Git
Git is powerful, widely adopted, and almost impossible to avoid, but that does not make it intuitive or well suited to everyday development work. Once branches diverge, conflicts appear, history is rewritten, or changes must move between releases, Git exposes developers to a complicated and often opaque internal model.
This article examines why junior developers should not be ashamed of finding Git difficult, why senior engineers quietly create backup branches and ZIP files, and why teams should simplify their workflows instead of pretending the tool is easy.
CTO Architecture Review to Roadmap (Part 2)
You might have clean diagrams, well-chosen patterns, and even a formal architecture review behind you: yet still be struggling with slow delivery, mounting technical debt, unreliable releases, or a platform that doesn’t match where the business is actually trying to go.
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CTO Architecture Review to Roadmap (Part 1)
When companies reach out to a Fractional CTO, they almost never start with a blank slate. They’ve already built something. It mostly works. It’s creaking in a few places. People are nervous about scaling, security, costs, or that “big rewrite” someone keeps lobbying for. And quite often, they’ve already done some kind of architecture review.
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Surviving LLM Rate Limits: Building Backpressure
Once you move beyond a toy demo and start running real workloads on top of a large language model, rate limits stop being a theoretical concern and become a very practical constraint. At small scale you can mostly ignore them. At medium scale you start seeing occasional 429 errors and retriable failures. At larger scale your whole system can suddenly feel brittle: bursts of errors, retries piling up, and users waiting far longer than they should.
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Building Reliable AI Pipelines on Azure
Modern AI systems fail more often than most engineers expect. Not because the models are fragile, but because the infrastructure surrounding them is. Network latency, cold starts, concurrency spikes, and the notorious 429 rate-limit errors all come into play.
Anyone who builds LLM-powered systems quickly learns the same lesson: in production, retries are not optional, they're architecture.
How to Avoid Early-Stage Tech Debt in Your Startup
In the early days of a startup, speed is everything. Getting a working product to market quickly often feels like the only priority that matters. Founders race against time and funding, building fast, cutting corners, and stacking features to satisfy users or investors. And while this velocity may win you early traction, it can silently lay the foundation for a trap: early-stage technical debt.
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Microservices vs Monoliths: Right Choice for 2026
Few engineering debates stir up more passion than the question of microservices versus monoliths. It’s been a hot topic for over a decade, with architects, developers, and CTOs drawing battle lines over modularity, scalability, team autonomy, and operational complexity.
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Sharp Logica works with investors and operating companies on technical diligence, operational transformation, architecture, and technology leadership.
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