You may have heard the term ‘vibe coding’ before, but what about ‘enterprise vibe coding’? Introduced recently by Salesforce, this was a new term to me, and one that comes with quite a few additional aspects. Salesforce’s definition of this new style of coding assistant is making ripples, and those who are not spending the time to understand it are quickly falling behind.
Join me as we learn more about what vibe coding is, what Salesforce claims are the differentiating factors between it and enterprise vibe coding – while also reviewing how Agentforce fulfills these claims.
A Brief History of Vibe Coding
Vibe coding is a term that was originally coined by Andrej Karpathy, and it is “where you fully give in to the vibes, embrace exponentials, and forget that the code even exists”.
This new approach to code writing can help developers save a significant amount of time on some of the more repetitive tasks by leveraging the power of artificial intelligence. Karpathy himself has spoken of several apps he has built with vibe coding.
Let me be clear – one thing that vibe coding is not is a replacement for real, experienced, knowledgeable, and, quite frankly, wise developers. Just like any old LLM can generate written text that doesn’t actually make sense, a vibe coding tool can generate code that doesn’t compile, doesn’t run properly, or worse – runs properly but does something that you never intended for it to do.
With Karpathy’s apps, he talks about the amount of effort required to get these apps to run in the public, which vibe coding did not help with. You’d assume neither would be considered as “enterprise-ready” apps.
Introducing Salesforce’s Enterprise Vibe Coding
Salesforce defines enterprise vibe coding with Agentforce Vibes as sort of a regular vibe coding except with security, governance, and context baked into it. Vibe coding, as I mentioned earlier, is where an LLM constructs code that matches patterns that it has seen before, informed by a prompt that you provide.
Enterprise vibe coding, at least the Salesforce way, is also supposed to take into account a number of additional parameters when it operates, such as your Salesforce schema (data model, metadata, etc). Ideally, this should mean more accurate code generation, more contextually-aware code analysis, and faster AI-assisted development with fewer hallucinations due to missing information.
Salesforce also claims that it means more security. By making use of the Trust Layer to ensure that your prompts are grounded in relevant data to facilitate a more valuable response.
It then masks that data to ensure anonymity is retained while still giving context to your LLM. These are not features that other vibe coding tools have, but have been prioritized by Salesforce to make the Agentforce Vibes tool more beneficial.
Agentforce Vibes Key Features
Salesforce defines enterprise vibe coding at the very same time that they deliver their own solution: Agentforce Vibes. It meets all the criteria that Salesforce’s definition requires, and has several brilliant features in addition.
One of my favorite features is the ability to rollback your code to a specific checkpoint in the conversation. Again, generative AI is not deterministic and will vary depending on the data it is being fed, the prompts it is given, and how it happens to respond at any given time due to a number of other factors. Rollbacks are an inevitable part of working with an AI coding tool, and Salesforce has made this as easy as possible with Agentforce Vibes.
Other features include a contextual planning mode – where Agentforce Vibes will tell you what it thinks is the best way to tackle a given problem, given context from your Salesforce org (it will not take any action as yet).
MCP support (including Salesforce DX) automatically creates checkpoints that you can roll your code back to, and of course, gives you the ability to generate code (Apex, HTML, CSS, and JS to name a few) and automate creation of test classes.
Is Agentforce Vibes One-of-a-Kind?
There are other enterprise vibe coding tools out there, but Agentforce Vibes offers a unique edge when it comes to the Trust Layer and Salesforce’s ongoing training of the model to grant the most relevant and worthwhile results.
Additionally, I don’t think the term ‘enterprise vibe coding’ has a rock-solid definition just yet. Salesforce has given theirs, and from what I can see, the definition given by other tools does not align in exactly the same way.
Perhaps we will see this space evolve, and as vibe coding becomes more refined and adoption increases in a variety of ways, we’ll see clearer definitions accepted across the entire industry. Time will tell, but it’s looking like this could be the case, given the evolution of vibe coding tools in recent times.
Agentforce Vibes leverages the aforementioned Trust Layer and inherits the built-in guardrails that have held Salesforce security together for decades.
It can connect to sandboxes and scratch orgs to ensure you’re developing and testing safely in line with best practices. It also leverages the new Salesforce DX MCP Server to allow back-and-forth communication between Vibes and your org.
Final Thoughts
Where vibe coding walked, enterprise vibe coding (at least Salesforce’s definition of it) is sure to run, given enough time. These tools are relatively new and, as the saying goes, “this is the worst that these tools will ever be”. They’re constantly evolving, and new refinements (like Salesforce’s embedding of the Trust Layer and Salesforce platform features) are making the experience better by the day.
Have you used Agentforce Vibes in your role? What about a similar tool? If not, what has stopped you? Let us know in the comments.
