How to Avoid the “Spaghetti Code”?
Spaghetti code complicates project implementation and leads to software vulnerabilities. Learn how to avoid spaghetti code and other pasta-theory antipatterns.
Insights
Blog, page 10 of 11
IT Outsourcing After Series A Funding: Pros & Cons
Startups that are actively developing always need additional investments. Learn how software outsourcing can help them find investors for Series B faster.
Product Launched? Then It’s Pentest Time!
Pentesting is a universal security analysis technique that identifies vulnerabilities in your software. See how to set up a thorough penetration testing in this post.
Discovery Phase in Software Development: Do You Really Need It?
Software discovery phase helps reduce risks associated with outsourcing a software development project. But is it always necessary?
Building a Machine Learning Project: AWS vs. Microsoft Azure
Creating a machine learning model in the cloud is faster and more efficient than on-prem. See AI and ML tools offered by the best cloud providers - AWS and Azure.
SSDLC: 7 Points to Check
The secure software development life cycle methodology can steer your development flow in the right direction from the very beginning. Still, there are 7 points to check.
ERP Software for Automotive: 5 Custom Features to Consider
Automotive industry software aims to boost business performance and level up the workflow. Learn what features custom ERP for automotive should have.
IoT and Big Data Testing: the Hidden Pitfalls
IoT and Big Data testing are very different from traditional QA. See what challenges you may expect and how to overcome them.
Evaluating AI Systems in a Pilot: Evals, Guardrails, Red-Teaming
How to evaluate LLM features and AI agents during a pilot: evaluation sets, LLM-as-judge, tool testing, guardrails, red-teaming, monitoring and cost budgets.
Best Practices for Cloud Security Services
Compliance check, machine learning & security, mechanisms for centralized encryption: discover main cloud security trends in the upcoming year
How Does an Application Help a Hospital?
The healthcare industry needs improved efficiency and additional revenue. Mobile apps play a key role to meet consumers’ growing demands for intelligent access to services
AI and Machine Learning in Supply Chain: The 2026 Guide
How AI and machine learning work in supply chain in 2026: current adoption data, use cases ranked by demand, the agentic layer, integration with TMS, WMS and ERP, a reference architecture and production results from Erbis.
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