Where Business Strategy Meets Technology Execution
Helping business leaders design scalable systems, integrate AI, and optimize for growth.
Currently viewing category: Architecture
HR Agencies: Evidence-Based Shortlists in Hours
HR Agencies: Evidence-Based Shortlists in Hours
Most clients think HR agencies just collect resumes and hit send. But agencies that deliver evidence-based shortlists, with clear reasons why each candidate fits, win more trust, faster decisions, and repeat business.
This blog shows how Screentico helps you move from resume-forwarding to real advisory work in hours, not days.
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.
Read ArticleSurviving 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.
Read ArticleBuilding 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.
Read ArticleMicroservices 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.
Read ArticleClean Code Is a Business Strategy, Not a Luxury
Why maintainable code is not just a technical concern but a competitive advantage. In countless companies, particularly those operating in fast-paced markets, clean code is still dismissed as a developer luxury: a "nice to have" that gets pushed to the bottom of the backlog when deadlines loom. Executives focus on roadmap delivery, quarterly OKRs, and growth metrics, often unaware that their greatest bottleneck is not the market, nor the competition, but their own codebase.
Read ArticleNeed a Better Architecture for Your SaaS?
Download our 90-page SaaS Architecture Guide and learn how to design scalable, reliable, and maintainable systems — without unnecessary complexity.
Subscribe to Our Newsletter
Get the latest insights on SaaS architecture, AI integration, and technical leadership delivered to your inbox.
We respect your privacy. Unsubscribe at any time.






