What Is Vibe Coding?

Vibe coding is an AI-assisted software practice that generates functional and working code from natural language prompts. It helps developers concentrate on business goals.  The primary goal of vibe coding is to create an AI-powered development environment where AI agents act as coding assistants and provide suggestions. 

Why Entrans Adopted Vibe Coding in Our Engineering Workflow

Vibe coding has shown significant improvement, resulting in 50 - 100% faster task completion, increased developer satisfaction, and fewer bugs in code reviews. Entrans has adopted vibe coding over the traditional methodologies because of its compromising principles, such as 

• Reduced Development time: The Developer's idea is turned into working code within hours and not within months, thereby reducing the development time and resulting in good quality code.
• Eliminates context switching: Jumping between IDEs, documentation, browser tabs, and communication tools often drains most of the development time. A Vibe coding tool consolidates that in one place and acts as a catalyst for an innovative mind.
• Automated repetitive tasks: Some coding tasks need the same pattern to be used. Vibe coding has helped developers to describe these patterns in natural language, and the AI generates specific implementations and reduces repetitive typing.
• Focus on architecture work: With AI taking over repetitive tasks, the developer has time to think more about the design architecture, and has increased developer satisfaction.
• Follows Agile practices: Entrans adheres to an agile approach, and Vibe coding also supports them, including iterative development and regular feedback. If we change the prompts, the AI adopts them and gives a proper response.
• Collaboration: After adopting vibe coding, it has given a sync even for non-developers, such as product managers, designers, to contribute to the development process even with less technical exposure.

Our Vibe Coding Stack: Tools and Workflow at Entrans

The tools we use in Entrans are mostly AI-assisted environments. These tools help our developers develop their intuition into working code.

• Vibe coding tools like GitHub Copilot have helped our developers to generate code snippets and functions by directly integrating with the IDE.
• When there are large code bases, then in that case Cody is used; it helps us by answering questions and explaining unfamiliar code.
• General AI models like Claude are used for solving complex problems and drafting technical documents.
• Integrated AI chat provides code-level answers by analyzing the project context.

The Vibe coding workflow is like

1. Prompt engineering: Our developers write well-structured prompts by clearly mentioning the goal, and then we will get better AI's initial responses.
2. AI generates code: The AI assistant interprets the natural language request and gives us the code.
3. Execute and Observe: AI-generated code is not always right. We test the code and verify the logic.
4. Feedback and Refining: If the output contains errors, the prompt is corrected and fed back.
5. Troubleshooting: If any error is diagnosed, we directly paste the error message into the AI prompt and ask for suggestions.
6. Repeat and iterate: These steps for describing the vibe, generating, and refining are done until the desired output is met.

Real-World Impact: How We Build 2x Faster

Here is how the vibe coding has enabled developers and non-developers to deliver applications twice the speed of traditional methods.

• By clearly describing the requirement, the AI converts the natural language prompts into corresponding code or test cases. This eliminates the boilerplate code and reduces the time spent on syntax and debugging. This initiates creativity and innovation.
• AI helps to collaborate with a developer instantly by following an iterative process and gives continuous feedback.
• It allows cross-functional teams to participate directly in the process, thereby reducing the manual bottlenecks.
• These tools eliminate context switching to another AI as it is integrated within IDEs.
• Continuous monitoring and human review are again used to make the AI-generated code meet the specifications.

Where Vibe Coding Works Best and Where We Still Use Traditional Dev

Though we vibe code, our developers simply don’t implement it. Here are some cases where we still follow traditional development practices.

• Customized projects: When the application still demands to use integrations, specifically behaviours, and designs given by customers, traditional development is still used.
• Legacy projects: Legacy projects have tightly coupled code and more dependencies. AI tool suggestions sometimes can create bugs.
• Sensitive projects: When the project has more sensitive information, exposing the details to any third-party tools will cause issues and induce potential risks.
• Performance-oriented: Some projects demand to maintain the overall performance and need fine-tuning often; in those cases, traditional coding is still used.
• Enterprise-level applications: Some complex systems like CRM, fintech apps, or platforms with custom logic benefit from traditional development.

Some cases in which we use vibe coding are

• Automate boilerplate: Instead of writing common code structures, configurations, or setup files from scratch, developers can prompt an AI to generate them instantly. This includes setting up API endpoints, database schemas, basic UI components, and authentication flows. This alone saves hours, if not days, on a project.
• Debugging: Advanced AI testing provides immediate insights into code behaviour, and gives immediate feedback by analyzing our code base.
• Learning new skills: When developers want to learn new skills and frameworks, they need someone to guide them. Gen AI gives feedback, and it fosters innovation in new minds.
• Proactive assistance and automation: We use Vibe coding in a large and private database. It has helped our developers to ask complex questions to the AI tool, and it provides proactive assistance.
• Proof of concept: When we want to test an idea or share a Proof of concept with stakeholders, we do a vibe code and explore it. These Poc give us a clear idea whether it can be turned feasible or not.
• Collaboration: When the project needs code sharing between developers, review processes directly into the development environment, Vibe coding promotes seamless cooperation.

Governance & Code Quality: How We Keep AI-Generated Code Safe

Automated code does not mean safe code. At Entrans, we follow certain regulations to keep the code secure.

1. Defining clear rules: Mention to the team how AI coding assistants can be used, including the types of projects and sensitivity levels allowed.
2. Selective AI tool usage: Not all AI tools can be used for assistance. Only approved AI tools are used with clear documentation on acceptable use cases. This governance simplifies compliance audits. An AI model should be selected with built-in security features and 
3. Peer review: AI-generated code should not be used as such; it is used for reference purposes only. If the code is used, an inline comment should mention how it has helped and what it is used for. Human review should be done for every AI-generated code, as it is generally done for normally human-written code. It is ensured that new code does not create any new bugs.
4. Guardrails: Our developers integrate AI tools in a tightly controlled environment. IDEs are pre-configured with Copilot extensions with enterprise-level policies.
5. Mandatory usage of contextual comments: Our developers will add inline comments to AI-generated code explaining why they have used the AI, whether it is peer reviewed, and whether the output was tested or not.
6. Automated security scanning: All AI-generated code is mandatorily scanned using tools like OWASP ZAP or SonarQube to catch vulnerabilities. Integrate Static Application Security Testing (SAST) tools with CI/CD pipelines to detect any SQL injections in the generated code.
7. Training and filling gaps: Employees are provided with continuous training on secure AI-assisted coding workflows and on using effective prompting techniques.
8. Monitor:  We continuously monitor and identify complex AI-generated code using code complexity metrics.

Lessons for Engineering Leaders: How to Get Started with Vibe Coding

Vibe coding is a way that describes how human collaborates with AI tools. To get started with vibe coding, we need to follow.

1. Choosing the right AI tools: The first step is very crucial. A good AI coding assistant will be the primary interface for vibe coding. Choose between IDE plugins or a Web-based AI coding platform based on our requirements. Popular IDEs like GitHub Copilot or Cursor integrate directly into VS Code and provide real-time suggestions. They are equipped with an integrated chatbot for smarter debugging. Web-based AI platforms like Replit, Lovable, Bolt, and V0 focus on generating full-stack web applications. Install the plugin for your IDE.
2. Begin with a pilot project: Choose a small project and try to use the vibe coding rather than directly implementing it in the production environment.
3. Defining clear prompts: use plain and understandable words to convey your vibe to the AI.
4. Execute the prompt: The AI converts the natural language into working code.
5. Review and test: The AI will display the code. In some cases, like the Cursor, it will show us what changes need to be made to the code.
6. Iterate and refine: A Human does the peer review, and if changes need to be made, refine the prompt and again iterate the same process until the desired output is obtained.

How You Can Build Faster with Entrans Vibe Coders

Entrans delivers the outcomes faster without compromising the quality. That is why we have incorporated Vibe coding into our working style.

• We know how to choose the right vibe coding tool for your project. It is selected based on sensitivity and critical functionalities in the project.
• Our vibe coders have mastered the art of prompt engineering.
• We always make sure that the code is secure and aligned with regulatory compliance. 
• Entrans’s vibe coders make transparent collaboration with multiple teams and provide continuous updates.

Conclusion – The Future of Software Development Starts with Vibes (And Entrans Can Help You Get There Faster)

Vibe coding is a new trend; it kindles creativity and innovation and makes us work faster. 

Entrans provides faster outcomes, cleaner reviews, and stronger teamwork. At Entrans, our vibe coders know how to apply the rigorous engineering discipline that professional software development demands. We have been using vibe coding for a while now.

Want to know more about? Book a consultation call to understand how we can improve your project.