AI coding agents have changed the way software is written, accelerating development but also introducing a new category of risk.
Up to 30% of modern code is now AI-generated, and while that boosts productivity, it also means your repositories are filling with code that may not follow your security or compliance standards.
Developers are vibe coding, prompting, re-prompting, and testing until something works. It’s fast, it’s fun, and it’s chaotic. But how do you make sure that what feels right in the IDE is also right for the enterprise?
In Arnica’s recent webinar, From Vibe Coding to Viable Coding: How to Make AI Work in Your Enterprise, founders Nir Valtman and Eran Sher unpacked what vibe coding really means, where it helps, and how enterprises can make it actually work safely, scalably, and securely.
If you missed it, here’s what you’ll learn when you watch the replay:
🎸 What “Vibe Coding” Really Is
Vibe coding was coined by Andrej Karpathy to describe coding by instinct, where AI does the heavy lifting and humans work “on vibes.” It’s freeing, but it’s also chaotic. Eran breaks down how this cultural shift is transforming developer behavior and productivity across teams.
⚙️ The Hidden Risks of AI-Generated Code
AI-generated code isn’t secure by default. Nir and Eran shared real examples of how AI can introduce business logic flaws, privacy violations, and even backdoors that traditional static analysis tools miss. As developers code faster, security teams face an exponential review backlog.
🧠 How to Bridge Developer Speed and AppSec Reality
The key insight: AI doesn’t have to be the problem, it can be part of the solution. The team demonstrated how Arnie, Arnica’s agentic software development security suite, turns AI from risk into reinforcement. By embedding secure coding rules directly into AI tools and reviewing every change in real time, Arnie helps teams move fast without breaking security.
🧩 From Reactive to Preventive Security
Rather than catching issues after the fact, Arnie enforces agentic rules, security guardrails that shape how AI writes code from the start. Combined with AI SAST, which analyzes code contextually and suggests secure fixes, enterprises can finally keep up with the AI-driven velocity of development.
💡 The Big Takeaway
AI-assisted coding isn’t going anywhere. Ninety percent of developers now use AI tools daily. The real question is whether your enterprise can control the chaos. With the right guardrails and intelligent enforcement, vibe coding can become viable coding and even a competitive advantage.
🎥 Watch the full webinar on-demand to see how leading security and development teams are making AI work for them, not against them.
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