A new manufacturing stack is emerging where products are scanned, modelled, simulated, visualized, produced, inspected and stored as reusable digital artifacts. This article explains the rise of the Robotic Product Foundry and why it matters for local production, global supply chains, the Global South and the future workforce.
Future of Work
23 posts
This article develops the synthetic organism as a disciplined alternative to both speculative AGI and shallow agentic automation. Building from the Abstraction Fallacy, it argues that AI systems should not claim consciousness through scale, complexity, or embodiment. Instead, artificial agency can be designed as a governed, memory-bearing, context-aware, and auditable system bounded by what creators can describe, test, supervise, and govern.
Vibe coding has made software creation faster than ever, but it has also made it easier to confuse something that works with something that is safe, scalable, and ready for real users. This article examines what vibe coding actually is, where it breaks down, and how non-programmers, solo programmers, citizen developers, and enterprise teams can use it responsibly. It covers requirements, governance, security, accessibility, demo versus MVP versus production, and the Two-AI workflow as a practical way to stay agile without losing control.
Artificial intelligence is reshaping software delivery, and QA is at the center of that shift. This article explores how testing is evolving from manual execution and defect detection into a broader quality intelligence discipline focused on risk, governance, traceability, explainability, and human judgment.
AI is transforming how requirements are created, validated, and evolved. What was once a lightweight Agile activity now demands structured governance, traceability, and explainability. This article introduces a unified framework to manage AI-generated artefacts, control change, and maintain accountability across modern delivery environments.
Agile was built for passive tools. AI changes that. When AI starts shaping decisions, generating requirements, and influencing delivery, teams need a new way to think about accountability, governance, and roles.