"In my opinion, we are still at the beginning of the Vibe Code Software Industrial Revolution." — Morey J. Haber
From Waterfall to Vibe Coding: a concise evolution
The software development lifecycle described by Morey J. Haber moves from the structured, linear Waterfall model through Agile and DevOps to a new conversational era driven by generative artificial intelligence. Waterfall "followed a linear progression with distinct milestones" and provided predictability that suited "large enterprises, governments, and independent software vendors (ISV)" because it aligned with procurement, budgeting, and compliance. Agile, Haber writes, embraced change through short, iterative sprints and cross‑functional collaboration. DevOps extended iteration into continuous integration and continuous deployment, accelerating delivery "from years to months, months to weeks, and eventually weeks to hours."
What Vibe Coding looks like in practice
Haber uses the term "Vibe Coding" to describe a workflow in which natural language and AI become the primary interface for producing working software. He lays out the basic loop:
- A user — "not necessarily a developer" — describes what they want in plain English.
- The AI "generates the basis for the application."
- The user refines the output through conversation.
- The cycle repeats continuously until the desired result is achieved.
Haber emphasizes that "intent becomes the programming language": AI interprets human creativity into executable code, and skilled engineers shift roles toward design, review, orchestration, debugging and cybersecurity. He notes that working prototypes can now emerge "in minutes rather than weeks" and that software creation is "truly becoming accessible to any user."
Where speed outpaces security
Haber warns that the very advantages of Vibe Coding introduce new risks. Code produced rapidly by AI "can still contain vulnerabilities, architectural flaws, licensing issues, privileged escalation vulnerabilities, and compliance concerns." AI models may produce applications that "appear correct while concealing subtle security weaknesses," creating a paradox: faster creation can increase an organization’s risk surface.
To manage this, Haber argues that "traditional secure software engineering disciplines (threat modeling, code review, vulnerability testing, identity security, least privilege, and governance controls) therefore remain essential." He explicitly cautions that without these safeguards, "Vibe Coding risks becoming the modern equivalent of shadow IT: highly productive, remarkably innovative, and potentially dangerous across a myriad of attack vectors."
What this means for technologists, entrepreneurs, and procurement leaders
- Technologists and security teams: Haber’s prescription is concrete — continue to apply threat modeling, code review, vulnerability testing, identity security, least privilege, and governance controls to AI‑generated outputs before production deployment.
- Entrepreneurs and startups: Vibe Coding makes idea validation "almost instant" and lowers the barrier to assembling applications, but Haber warns that democratizing creation "doesn't automatically democratize the engineering judgment that underpins secure, reliable, and trustworthy software."
- Procurement and compliance leaders: The article underscores a tension with traditional procurement and compliance models that once matched the Waterfall era’s predictability; those controls must adapt to short‑cycle, conversational development without sacrificing governance.
Morey J. Haber and BeyondTrust
Haber is identified as the Chief Security Advisor at BeyondTrust and is presented as the article’s author. The piece notes he has "more than 25 years of IT industry experience" and has authored five books: Attack Vectors: The History of Cybersecurity, Privileged Attack Vectors, Asset Attack Vectors, Identity Attack Vectors, and Cloud Attack Vectors. His biography in the source lists prior roles within BeyondTrust — including Chief Security Officer, Chief Technology Officer, and Vice President of Product Management during a "nearly 13‑year tenure" — and earlier positions at eEye Digital Security and Computer Associates. The article is sponsored by BeyondTrust and promotes a company offering: "BeyondTrust's complimentary Identity Security Risk Assessment helps you discover AI agents, shadow AI, privilege paths, and identity-related exposures across your environment."
Haber projects that the next phase "may involve fully autonomous development ecosystems where AI agents gather requirements, generate architectures, write code, test applications, remediate vulnerabilities, deploy updates, and monitor production environments with even less human intervention." He stresses that humans will continue to provide "vision, governance, ethics, and accountability" even as mechanics of creation become more automated.
Haber closes with a pointed reminder of the stakes: "If software can be created at the speed of thought, trust has to be established in the translation of our thoughts, too." That sentence frames the central challenge outlined throughout the piece — rapid, conversational creation demands an equally rapid and robust approach to security and governance.
