Corporate Blog: Software Development Methodologies

This article compares FrameMaker and Word for technical documentation and explains the warning signs that Word is no longer keeping up with complex documentation needs. It also covers when FrameMaker or DITA makes sense, when other tools may be a better fit, and how to approach the move from Word.

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.

See how SCAND used AI-assisted discovery to reduce business analysis and prototyping effort to 84 hours, compared with a traditional estimate of 220 hours. Explore the workflow, project results, and lessons from a real fintech SaaS project.

Technical documentation becomes harder to manage as products, versions, teams, and content volumes grow. Explore the main types of technical documentation software and tools in 2026, their strengths and limitations, and when it makes sense to move from simple editors to structured enterprise documentation systems.

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.

Generic AI prompts break down once teams scale. This article explores how custom AI skills bring structure to Cursor and Claude Code workflows, covering discovery, planning, implementation, and review. Learn why consistency matters, when custom skills are worth building, and how SCAND helps teams turn AI coding assistants into reliable, governed tools.

The article explains how AI is changing the way clients review and approve IT projects, making the handover process more detailed and time-consuming. It also shows why companies need to include more time and effort for documentation, testing, and client review when estimating fixed-price projects.

The article explains how SCAND uses a structured, spec-driven workflow to make AI-assisted software development safe and predictable for large, complex projects. It covers Git-based specifications, approved implementation plans, custom AI skills, human code review, security controls, and verification criteria to keep AI-generated code aligned with business and technical requirements.

What should you check in a vibe-coded startup before a raise or acquisition? Explore a practical due diligence framework.