Corporate Blog: Trends

AI assistants often agree with you instead of checking the facts. This article explains what AI sycophancy is, how to spot it, and nine rules our engineers use to keep AI answers grounded in software projects.

PHP2Shell exposes two critical remote code execution vulnerabilities in PHP. Find out which versions have security fixes, how to protect vulnerable servers, and what to do if your application runs on unsupported PHP. We also cover migration options for legacy systems that cannot receive official updates.

AI works better when it understands how a business actually operates. Learn how an enterprise context layer connects data, rules, history, permissions, and knowledge to give assistants and agents reliable organizational context.

Explore how AI is transforming technical writing in 2026. From drafting and editing to DITA conversion, localization, and documentation search. See where AI delivers value, why human review matters, and how to handle sensitive documentation securely.

AI is reshaping project management, shifting the PM’s role from task coordination to strategic delivery leadership. Discover how SCAND combines AI automation with human expertise to streamline workflows, optimize resources, and improve software delivery efficiency.

Agentic development is not just about adopting AI coding tools. Learn how specifications, review, security, metrics, and delivery processes determine whether your team is ready to delegate more software work to AI agents.

This article explores TypeSafe AI Jev, a decision-focused AI model built for structured business decisions. It covers how Jev works, its use cases, cost, limitations, and how it could fit into enterprise AI workflows.

Explore the top AI chatbot development companies in the USA for 2026 and find providers that deliver advanced, scalable conversational AI solutions for modern businesses.

AI governance consulting helps enterprises move beyond written frameworks into technical controls that actually enforce compliance. This piece breaks down the five core deliverables, how governance differs from ethics and compliance, and when advisory work alone isn’t enough versus full technical implementation.

Choosing a life sciences software partner isn’t like hiring a generic dev shop. Regulated data, complex integrations, and long system lifecycles demand real domain expertise. This guide ranks 10 life sciences software development companies for 2026, compares their strengths by project type, and shows what to check before signing, from validation experience to post-launch support.