Alexandra is a Senior Content Editor at Techopedia with 10+ years of experience in covering tech, finance, and crypto industries. Previously, Alex served as a…
Vibe coding, the buzzy term describing the use of large language models (LLMs) to generate software code from natural language prompts, has quickly entered the mainstream.
Venture capital giant Andreessen Horowitz (A16Z) has put major weight behind the trend, forecasting a $450 billion productivity boom and framing artificial intelligence (AI) as the next great abstraction layer that evolves development from “syntax to intent.”
The developer world is taking notice.
According to Shaw Walters, founder of ElizaOS, an AI framework powering the top GitHub repository for open-source AI development, A16Z’s endorsement solidifies the vibe coding revolution. Walters sees this as validation of the shift that ElizaOS champions, proving vibe coding is no longer a niche concept but a core development practice.
Walters believes vibe coding will democratize access to software development, empowering more people to build without needing deep technical fluency. Projects built on ElizaOS have surpassed $20 billion in market value — and tools like agentic IDEs like Cursor are increasing coding speed by 50x.
But as AI takes over more of the coding process, concerns are mounting about the impact on entry-level software roles and the implications of creating a generation of developers who can’t debug their own code. Techopedia spoke with Walters about the potential and pitfalls of vibe coding — and where it’s heading next.
About Shaw Walters
Shaw Walters is the founder of Eliza Labs, the creators of the ElizaOS agentic open-source framework. With a robust background in artificial intelligence and machine learning, Shaw has championed an open-source and transparent approach that has positioned Eliza Labs at the forefront of innovation. The ElizaOS framework has quickly gained recognition as a key resource for developers. Prior to founding Eliza Labs, Shaw dedicated several years to advancing AI agent technologies and exploring diverse frameworks.
Democratizing Software Development
Q: How is vibe coding lowering the barrier to software creation?
A: With AI-powered IDEs like Cursor and Windsurf, we can literally talk to a computer and it starts writing the code, a trend that’s widely known as vibe coding. It’s vastly different from code completion in that it’s more about being able to express intent directly. Senior engineers now talk to their computers to modify code, focusing on system design while AI handles implementation details.
Such AI-assisted software development makes engineers up to 50x more productive. What used to take hours of searching across Stack Overflow now happens in seconds, and you don’t have to do everything manually.
Q: Where do you see productivity gains happening: startups, enterprises, or in new developer segments?
A: The main gains are happening for experienced developers, but also for non-developers to quickly be able to learn from doing.
In startups, we’re seeing the best democratization effect. Non-programmers can now build functional applications. Vibe coding makes it possible to ship real apps to non-programmers which could unlock plenty of new talent for people with the right mindset about systems and products. Enterprises typically rely on siloed tools and proprietary systems that AI might not be as useful for, so it’s another win for open source.
There’s this principle called Conway’s Law that says organizations build software reflecting their communication structures. What works for five-person decentralized startups, remote teams, or distributed organizations doesn’t work with how enterprises rely on a host of different siloed tools.
That’s why enterprises need to think differently about no-code solutions. There’s tons of data buried in Slack, updates scattered across dashboards, insights stuck in someone’s head. Enterprises that want to win need AI that can work across these platforms.
Q: Are there particular types of software projects or industries where vibe coding is especially well suited?
A: Vibe coding is amazing for rapid prototyping and iterative development. You can also do things like quickly spin up presentations and generate slide images. It’s particularly powerful for web applications, UI development, and anywhere you need to iterate quickly.
However, in blockchain, vibe coding, as with any rapid development, could lead to potential security issues and real money lost forever. Financial applications, smart contracts, and security-critical systems require much more careful consideration, which AI can also help with, in a different capacity. Human error in these domains is also very common, but it feels like the unwritten trust requirements for automated development are higher.
Risks and Opportunities in an AI-Coded World
Q: Does vibe coding risk create developers who are unable to debug or optimize their own code?
A: There’s less of a risk in using vibe coding as a shortcut to skip the hard work of truly understanding the underlying systems than there was when we had to rely on forum posts to piece together solutions to new problems.
Good coding requires deep system knowledge, and AI amplifies expertise. If skilled engineers use AI to vibe code, that’s a net positive. But if it’s used as a crutch without deep understanding in these high-stakes areas, that’s where things are likely to go wrong.
Q: What advice would you give to junior developers or those entering the field now, especially as AI takes over much of the basic, entry-level coding work?
Focus on understanding systems. There’s no substitute for that deep knowledge of how the whole system works to not ship something broken or insecure.
Learn to think adversarially, because security, especially in DeFi, demands this kind of mindset — constantly thinking “How could someone break this?” AI isn’t inherently built for that yet.
Most importantly, embrace these tools but understand their limitations. The fact that these models can just make things up and present it confidently. In programming, that’s lethal. And it can be hard to debug.
The Future is Agentic
Q: As vibe coding becomes mainstream, what does the next layer of innovation look like?
A: It’ll be about orchestration and intent and multiple AI agents working together. Less about coding individual functions to directing and maintaining entire systems.
ElizaOS makes it dramatically easier for creators to build and experiment with blockchain-enabled autonomous agents because the next innovation is about AI that understands context, security implications, and can reason about entire architectures.
“Just tell it what to do” will replace traditional programming workflows, but the real revolution will be when AI can understand not just what to build, but why and how it fits into larger systems.
The Bottom Line
Vibe coding is quickly becoming a transformative force in software development. It helps both experienced engineers and non-technical creators to build software more efficiently and intuitively by converting natural language into code. Founder of ElizaOS Shaw Walters points out that the emergence of agentic tools and AI-powered integrated development environments (IDEs) is not only enhancing productivity but also fundamentally changing our approach to programming — shifting the focus from syntax to high-level intent.
But this shift isn’t without its risks. While vibe coding lowers barriers, it also raises questions about long-term developer competency, particularly in high-stakes fields like blockchain and finance, where security and system-level understanding are critical. The future, according to Walters, lies in orchestrated AI systems that don’t just write code — but understand context, security, and architectural goals. As vibe coding matures, success will hinge on using these tools thoughtfully, with a strong foundation in systems thinking and responsible development practices.
