Bugs, Edge Cases, and the Beta State Every Honest Product Lives In | Active Logic Insights

“Zero bugs” is a promise no vendor can keep, which is why the ones who promise it end up redefining what a bug is after the contract is signed. The honest version of that conversation belongs at the front of the engagement, not after launch when something inevitably breaks and the vocabulary fight begins.

The Original Post

I still think about the tech bro on here who told me… publicly… that his company doesn’t ship bugs. Like… at all. 100% guarantee. Never happened.

I got what he was saying though… he has a very specific definition of what a “bug” is… but I can promise you his clients don’t share that same definition. So I didn’t even push back. I just laughed.

Because if that’s what you’re selling, I can’t imagine how exhausting it must be trying to explain the difference between a bug… an edge case… and a “feature request” every time something inevitably pops up.

Like… what are we doing here 😆

If you’re selling semantics… man, I feel for you.

Meanwhile, I tell every client the same thing before we launch: Expect things to happen. Expect bugs. Expect edge cases nobody saw coming.

Our goal isn’t to promise a bug-free system, it’s that we will fix things quickly and efficiently and ultimately get to an amazingly stable state. Quickly.

That’s just part of it. That’s software in the real world.

Over time it gets better, more stable, more dialed in… but there’s a reason every legit company in the world is comfortable saying “yeah, it’s still kinda in beta.”

Anyway… good luck out there, tech bro. Wherever you are.

Going Deeper

The Semantic Game Every Zero-Bug Vendor Plays

Every vendor who guarantees zero bugs is running the same playbook. They narrow the definition of “bug” until almost nothing that happens inside the actual product qualifies. Under the hood the definition looks something like this: a bug is a piece of code that fails to do what the spec says, in exactly the environment the spec assumed, with exactly the data the spec anticipated. Everything else gets reclassified.

A button that hangs on a specific iOS version when the user has a VPN enabled? That is an environment issue. A workflow that falls apart when two users edit the same record at the same time? That is an edge case. A report that runs for forty minutes because the dataset grew past what the team tested against? That is a change request. A feature the client described in a workshop and nobody wrote into the spec? That is scope creep.

The spec-versus-reality gap is where these vendors hide. Clients don’t care which legal category the failure falls into. They care that the thing they paid for stopped working for their users. The vendor wins the argument and loses the relationship.

Bug, Edge Case, Feature Request: What the Words Actually Mean

These three categories do exist. They are useful. They just don’t cover what “zero bug” vendors pretend they cover.

A bug is code that does not do what the team intended. Usually a logic error, a regression, a misconfigured dependency, a race condition surfacing under real concurrency. The fix is a patch, and the cost belongs to the team that wrote the code.

An edge case is code that does exactly what the team intended, where the intent did not anticipate a scenario that surfaces in real use. Sometimes it is data the team did not simulate. Sometimes it is user behavior nobody predicted. Sometimes it is a timing condition that only appears at scale. The fix is a design change, and on an honest project most edge cases in the first few months get absorbed by the build team because the design was the team’s responsibility.

A feature request is code that works as designed, where the design was correct at launch, and now the business wants it to do something it was never built to do. The fix is new scope and the cost is a change order.

Real teams talk about these categories transparently after launch, budget for all three, and tell the client honestly which bucket a given issue falls into along with what it will take to resolve. Vendor teams who sold a zero-bug promise hide the edge-case and feature-request buckets behind “it’s not a bug” language, because acknowledging those buckets would mean acknowledging that the guarantee was a story.

The Real Product Is Mean Time to Fix

If a zero-bug guarantee is a promise nobody can keep, then the product worth buying is fast, honest triage. It is less glamorous to put on a sales deck, and it is the version that survives contact with reality.

Look at how the best software companies in the world talk about their own products. Gmail carried the beta label publicly for five years after launch. Google Docs stayed in beta for years. Most of the serious SaaS tools your business depends on ship a changelog with weeks of fixes on any given release. That is not a sign those teams are bad at their jobs. It is a sign those teams understand what software actually is once real users and real data are touching it.

The metric that actually matters is how fast a real issue gets from reported to resolved. A team that responds in hours and patches within days is worth an order of magnitude more than a team that promised zero defects and now spends three weeks arguing about which category an outage belongs to.

The Conversation That Belongs Before the Contract, Not After Launch

Before any custom software project goes live, Active Logic has a specific conversation with the client. It covers three things.

First, launch is not the finish line. It is the point where the system starts getting real users and real data, which is the moment the team finally learns what the software actually does under load. Some of what surfaces will be inconvenient. The build plan includes a budget for the inconvenient stuff, and the client knows that budget exists before the first user logs in.

Second, there is a defined support rhythm that assumes issues will surface. An intake channel, a triage cadence, a clear window for bug fixes, and a transparent distinction between what gets fixed at our cost versus what becomes a change order. The classification is a shared document, not a negotiation that happens every time something breaks. A client should never have to argue about whether their problem counts.

Third, the system gets more stable over time. Month one and month two surface most of the edge cases a real user base will uncover. By month six the system looks materially different from the version handed over at launch, and the stability curve flattens out in a way it never would if we pretended the first release was already perfect. This is why the engagement model keeps engineering attached past launch rather than handing the keys over and disappearing, which is where our Team as a Service model sits naturally: the same senior engineers who built the system are the ones handling the fix cadence afterward.

That conversation is the opposite of a sales pitch. It is the pitch that survives because it is the one that matches what actually happens.

How to Spot the Vendor Running the Semantic Game

When you are evaluating a software development partner, treat the claim of bug-free work as a tell, not a credential. The real filter is in the follow-up questions.

Ask what happens when a user reports something that does not match the spec. Watch for the first time they use the phrase “edge case” and notice whether they treat it as a category they own or a category they try to push back onto you. Ask what the first ninety days after launch look like on their projects, in writing. Ask how the support cadence changes between month one and month twelve. Ask what percentage of post-launch work on comparable projects turned into change orders, and whether the client knew that number going in.

The honest answer sounds like this: bugs will happen, edge cases will happen, and some of what surfaces will be legitimate new scope. All three get triaged. All three get resolved. The ones that are our mistake get fixed at our cost. The ones that are new scope get priced transparently. Here is what the support rhythm looks like, and here is the written document the last three clients signed.

The partner who offers a zero-defect guarantee is either naive about how software works or counting on the semantic game paying off after the contract is signed. Either answer is a reason to keep looking.

The Beta State Is Not a Weakness

Every piece of software worth running sits in a state of ongoing refinement. The “beta” label that Gmail, Google Docs, and dozens of other legitimate products wore for years was not a sign those products were half-done. It was a sign the teams understood that real users are the only honest test suite, and that the product keeps getting better when the team stops pretending it is ever finished.

Your software is going to be in beta for a while after launch. Not because your team is slow or your vendor is careless, but because software in the real world is always a work in progress. The teams worth hiring are the ones who say that out loud, build a support and fix process around it, and keep moving the system toward the stable state fast enough that your users stop noticing the rough edges. That is the real product. Anyone selling you something cleaner than that is selling you a vocabulary lesson for after the check clears.