FAQs

AI acts as a collaborator, analyzing data, accelerating idea generation, and supporting execution. Humans still define direction, ethics, and emotional resonance.

Over-reliance can lead to creative stagnation, as AI draws only from existing data patterns. True creativity thrives on unpredictability, risk, and emotion, all human traits.

Human-centered ideation starts with emotional and contextual insight, then uses AI for amplification. AI-led ideation reverses that order, often producing generic or biased outcomes.

Yes, when guided by humans. AI can expand, refine, and test ideas, but it should support a human-led creative process, not replace it.

AI can generate ideas quickly, but it lacks emotional depth, personal experience, and cultural understanding- all essential for producing original and meaningful concepts.

It involves treating documentation as code (Docs-as-Code). This means storing documentation alongside the code, using simple tools like Markdown, and automating updates to ensure the documents are always current and easy to version control.

Yes. This is one of the core Benefits of documentation in Agile methodology. By capturing key architectural decisions (ADRs) and technical setups, documentation reduces knowledge silos, ensuring the role of documentation in Agile teams is to accelerate development.

The most valuable artifacts are the Agile user stories and documentation built around them (including acceptance criteria). These serve as the primary source of truth, clearly defining what is being built and why, which is the foundation of every Agile project documentation effort.

Traditional documentation is heavy, static, and created upfront. Documentation in Agile Development is lightweight documentation in Agile, focusing on "just enough" detail created just in time (JIT) to support the current sprint.

Letting them get outdated. If the standards don’t evolve with your codebase, people stop taking them seriously. Keep them alive and relevant.