The new age build vs buy
We have spoken about it before. Every developer has thought about it before. When we need a new capability, feature, plug-in - do we build in-house or do we buy? All products - SaaS, dev tooling (yes, us included) - have literature guiding you on what is right for you - build vs buy.
However, build looks very different today. The interest around vibe coding is at an all time high (and to imagine it didn’t even exist a year ago!) - and fairly so. Building is not about months of coding with teams of developers anymore. AI can do most of the heavy lifting - and well, at that.
So when comparing build vs buy - how fast you can get the product/feature live isn’t the metric anymore. In most cases (as long as you know exactly what you want), AI is going to get you there much faster. The question here is only about how both options scale.
Conversations are dangerous.
Most features or products allow users to perform a limited number of actions - and ensure it can handle those. Chat and calls are not like that. Sure, the broad variety of actions a user can take is limited - numerous, but limited. But when we start going into the specifics, there are endless options. You are not always going to know what attachment breaks the chat, what wording dodges moderation, or how calls are going to behave with dubious bandwidth.
Vibe coding can get you sleek conversational infra - but it can scale only if you have thought of how you are going to resource maintenance.
What vibe coding chat can do
Vibe coding shines when the scope is clear and contained. Vibe coding shines when the scope is clear and contained.
If you need a straightforward way for users to exchange messages in real time within a limited environment, you can get there quickly. A simple event-driven setup, persistent storage, and a clean UI layer are very achievable with today’s tools.
It works especially well when:
The number of users is predictable.
Conversations are short-lived or non-critical.
The system doesn’t need to synchronize state across multiple devices.
Compliance, audit trails, and long-term retention aren’t major concerns.
Chat is supportive, not central to your product’s value.
In these conditions, you can assemble something functional and stable without going too deep into architectural trade-offs. You’re not optimizing for massive concurrency, global scale, or complex permission layers. You’re building a focused communication channel.
For internal tools, early-stage prototypes, community experiments, or tightly scoped features where reliability expectations are modest, vibe coding is often more than enough.
And if your broader system is already mature, chat doesn’t have to exist in isolation.
You can stream message events into an analytics pipeline - publish them to a queue, forward them into a warehouse, and build dashboards that track engagement, response times, retention patterns, or message volume. With clean event contracts, chat becomes just another structured data source in your stack.
The same goes for notifications. Message events can trigger push delivery through APNs or FCM, transactional email providers, or internal webhook workflows. With proper event handling and retry logic, chat can plug directly into your existing messaging infrastructure.
None of that is out of reach.
It is very good at helping you get from zero to ‘this works’ - especially when the environment is controlled and the stakes are low.
What vibe-coded chat cannot do
Sending a message isn’t the hard part. Keeping it reliable is.
Things get heavier the moment chat stops being a side feature and starts becoming part of how your product actually runs. Now it’s not just about delivery - it’s about what happens when a user switches devices mid-conversation, when the connection drops and reconnects, when two updates hit at the same time, when state drifts.
That is where the surface area expands.
Features that sound harmless in planning meetings tend to reach deep into the system. Real search across long histories. Threads that don’t lose context. Unread counts that stay accurate across devices. Permissions that behave correctly in large groups. Fast history loading without hammering the client. None of these live in isolation. They shape your storage layer, your indexing, your caching strategy, your event handling.
And once you ship them, you own them.
Media is a good example. Uploading a file is easy. Keeping uploads stable under poor networks, retrying safely, preventing duplicates, scanning for abuse, managing storage growth, handling expirations - that’s ongoing work. It doesn’t end after launch. It becomes background maintenance that someone has to think about.
Moderation is similar. A keyword filter works on day one. Over time you’re tuning edge cases, handling false positives, adapting to new abuse patterns, dealing with multiple languages, responding to reports. It turns into operational policy, not just code.
Then there’s scale. Not dramatic scale - just growth. Growth changes the shape of the problem.
As usage increases, you start seeing behaviors that didn’t show up in testing. Messages arriving milliseconds apart that collide in odd ways. State that looks correct on one device but slightly off on another. Indexes that were fast at small volumes slowly become a bottleneck. Background jobs that used to complete instantly, now competing for resources.
The database gets bigger. The logs get noisier. Storage needs planning. Backups need testing. Someone from compliance asks how long messages are retained and whether they can be exported. Support forwards a ticket where a conversation history looks incomplete. Now you’re tracing through event flows and trying to reproduce something that only happens under load.
None of this is catastrophic. It is just real.
Chat doesn’t break loudly most of the time. It degrades quietly. And maintaining it means paying attention to all the quiet parts - the sync edges, the retry behavior, the data lifecycle decisions - long after the initial build felt ‘done’.
How you can choose - vibe code vs buy
The question isn’t whether you can vibe code chat. You can.
The question is: what kind of environment are you building for?
If this is a small, closed-loop setup - a limited group of users, possibly internal, no sensitive data, no edge-case heavy behavior - and chat just needs to exist as a functional layer, vibe coding will likely get you there. Good enough.
But the moment it moves beyond that controlled space, the equation changes.
When real users depend on it. When conversations start carrying important context. When sensitive data flows through it. When reliability stops being a ‘nice to have’.
Now you’re not just building a feature. You are operating infrastructure. You’re accountable for how it behaves under weak networks, how it syncs across devices, how moderation holds up in edge cases, and whether you can retrieve records months later if required. And that responsibility doesn’t end after launch.
At that point, this isn’t about how fast you can ship it.
It is about whether you want to own it.
And if chat isn't your primary differentiator, you might just be better off buying.
If you decide buying makes more sense, you know where to find us.
Team CometChat