Xano 2.0 Updates Production Grade Backend for AI, Apps To Solve "Vibe Coding Trap"
Xano is updating its low-code backend platform to make it easier for developers to quickly launch production-grade apps and AI agents. IDN speaks with Xano CEO & Co-founder Prakash Chandran about innovations in Xano 2.0 that avoid the 'vibe coding' trap with support for security, scale and governance.
by Vance McCarthy
Tags: AI, apps, black box, GenAI, governance, scale, vibe coding, Xano,
CEO & Co-founder

"The AI coding trend has created a 'vibe coding' trap where the illusion of speed leads to massive amounts of security risk and technical debt," With Xano 2.0, we’ve solved that problem... without sacrificing the developer experience."
Low-code backend platform provider Xano is updating its solution to make it easier for developers to quickly deliver production-grade apps and AI agents.
While popular AI coding tools have captured attention for enabling fast frontend demos, they lack the security, scalability, and governance needed for production deployment, Xano Co-founder and CEO Prakash Chandran said. This lack of enterprise-grade backend support is one of the main reasons studies suggest up to 95% of AI projects fail, he added.
Filling the ‘Vibe Coding Gap”
Xano 2.0 aims to solve what company execs call the “vibe coding trap” with features that fill the gap between building quick demos and delivering ready-to-run, production-quality projects.
"The AI coding trend has created a 'vibe coding' trap where the illusion of speed leads to massive amounts of security risk and technical debt," Chandran said. "With Xano 2.0, we’ve solved that problem by combining the speed of AI with visual validation and a code-first experience. The result is logic that’s transparent, editable, and governed for enterprise-ready reliability, without sacrificing the developer experience.”
To fill the vibe coding gaps, Xano 2.0’s backend platform combines the speed of AI-generated code with a visual validation layer, Chandran explained. This combination fills common gaps in today’s AI code generators by making application logic fully transparent ready-to-run on a single production-grade environment. “Xano 2.0 provides the backend infrastructure to power those experiences at enterprise scale, without forcing teams to choose between speed and reliability,” he added.
The result: More transparencies (no more “black box”), less technical debt, and the ability to easily fill governance gaps common in AI code generators.

Xano’s Logic Assistant generates and visualizes backend workflows, explaining the reasoning behind everything and allowing teams to review, edit, and validate AI-generated logic.
Xano 2.0 Improves AI Production Success Rates
Xano 2.0 showcases how 2025’s focus on AI-driven front ends has also highlighted the need for robust backend features, Chandran also noted.
“As consumer interfaces shift from static applications to generative UI and [AI agents] . . traditional user interfaces are dying," added Chandran. "The future is agentic software where backends must orchestrate multiple AI agents working together. Most companies are focused on the shiny frontend demos while ignoring the backend infrastructure crisis that will determine who survives this transition."
IDN asked Chandran to detail how Xano 2.0’s backend updates will improve AI success rates.
With Xano, you get that first vibe coding step…but then you also get to validate it. Xano’s Logic Assistant, powered by AI, starts by generating the backend workflow, including database queries and branching logic. It also documents every step of the business logic, giving you both high-level and detailed explanations of why it built what it built.
With that foundation and context detail, you can bring in a human to validate and revise it, either using Xano’s Visual Canvas (visual development as opposed to hand-coding) or XanoScript (a human-readable scripting language) in the IDE of your choice. Through this process, you can make sure that the AI-generated code strictly adheres to internal and external standards—and fix it directly if it doesn’t. The end result is the speed of AI, but the validation of a human for full compliance.
Xano 2.0 is also designed to be easy for existing developers to use, Chandran noted.
It’s very easy for existing hand-code developers to onramp to Xano. Because they’re familiar with standard coding practices, they can immediately pick up the visual environment. And when it comes to jumping into code directly, although XanoScript is a new scripting language, it’s not a new paradigm; it’s a structured, predictable configuration language inspired by JSON/YAML and standard programming language constructs, making it easy for developers to learn. I also want to call out our awesome and vibrant community, which is full of lots of folks who are really dedicated to helping out new learners.
Architecturally, the Xano 2.0 platform unifies capabilities for early stages of “vibe coding” with optionality – and adds rich support for production-ready security, scalability, and governance.
In specific, Xano 2.0 supports:
1. Build with AI: Generate at AI speed, without losing control
- From Prompt to Working Software: Instantly generate backend functions from natural language
- Transparency, Not Black Boxes: Every AI-generated function is visualized for validation and editing.
- Enterprise-Ready AI: Outputs are production-grade from day one, with built-in scaling, compliance, and monitoring.
2. Build with Code: Full code editing support and a first-class developer experience
- Backend infrastructure & logic as code: XanoScript (XS), keeps backend code and visual logic perfectly synchronized.
- Stay within preferred tools: Xano 2.0’s new IDE Extension lets developers use preferred IDEs with AI assistant support.
- Git Sync & Version Diff: Integrations with GitHub and GitLab for version control and auditability,
3. Collaborate Visually: Clarity for Hybrid Teams
- Canvas View: A node-based workflow builder that makes backend logic easy to design, share, and validate.
- Seamless Sync: Developers and non-technical users work from the same source of truth
Early Xano 2.0 Users Report Strong Successes
One early Xano 2.0 user reported better streamlining for their AI projects, leading to more error-free deployments.
“With Xano, we rebuilt in six months what took two years in traditional code. But we didn’t just choose Xano because it helped us go fast — we chose it to move fast while meeting strict requirements for stability, scale, and security,” said Aleksander Hakestad, CTO & Co-founder, Apart Tech. “Xano 2.0 will help us accelerate even further and improve collaboration across our pro developers and business stakeholders; for us, it’s a way to innovate faster without compromising on trust.”
IDN asked Chandran to detail use cases where Xano 2.0 can make the biggest impact for overcoming “vibe coding” limitations.
Absolutely. Here are two examples of cases where a hands-on user might take advantage of Xano to avoid the traps of vibe coding.
First, imagine you’re a product manager or on an engineering team at a bank, and you’re asked to build a solution for the automated onboarding of new customers. In a vibe coding tool, you could use a natural language prompt (”Build an API that checks customer KYC status and triggers a compliance review if data is missing”), and something would get built. But what you couldn’t do is then check that code to make sure it adheres to internal and external standards for business policies and procedures, security, governance, data models, or anything else. All you can validate are the inputs and outputs. What’s in the middle is a total mystery. So while it might work well for a demo, putting it into production at scale, especially in a sensitive setting like a bank, is really risky.
For a second example, imagine you’re building AI features into a SaaS product. In this case, your prompt might be something like ‘Create an API endpoint that takes meeting notes, summarizes them using the latest Claude model, and returns key action items.’ When given this prompt, the Logic Assistant doesn’t just build it. First, it explains the details of how it’s going to build it: defining the API endpoint and inputs, constructing the Claude prompt, calling the Claude API, parsing the API responses, storing the meeting notes and summaries, and returning action items. It also shows you any dependencies that would be required for the process to work (like the need to create specific tables or environment variables, which it can also make suggestions to help you do). And then, before actually executing anything, it asks you if you’d like to make any tweaks before accepting the plan.
Xano 2.0 aims to replace the patchwork of backend tools with a single platform designed for speed, security, and transparency.
Xano 2.0 is available immediately, learn more https://www.xano.com/news/xano-2/.
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