Is your software getting stronger, or just shipping faster?
AI helps teams ship faster, but speed says little about whether the product is getting stronger. When code, tests and documentation drift apart, AI tools work from the wrong picture, and the business pays in AI spend, engineering time and later clean-up. Coherence Auditor by WaveAccess reconciles the three, checks code quality and security, and turns software health into one score executives can track release after release.
Why does delivery speed say so little about software health?
AI now writes a large share of the code, and fewer people read what it writes. According to New Relic's State of AI Coding report (June 2026, 200 respondents), two in three tech leaders say AI writes or reworks more than half of their weekly code. Teams get through their backlogs faster, release more often and can point to strong productivity numbers.
Those numbers describe output, though, and they say little about whether the product as a whole still holds together, which is something hardly anyone checks on a regular basis. The risk of AI-written code is already visible: in Sauce Labs' August 2026 research among 400 executives, 80% had traced an incident or outage to AI-generated code. Speed is easy to see, while the risk that builds up behind it tends to stay out of view until something breaks.
What happens when code, tests and documentation drift apart?
Imagine accounting, the warehouse and sales each keeping their own books: every set looks neat, yet they have quietly stopped agreeing with each other, and nobody knows which version is true.
Software keeps the same kind of books: the code, the tests and the documentation. The code shows what the software actually does, the tests prove that it works, and the documentation tells the team and its AI tools how the product is supposed to work. Coherence means all three describe the same product, and drift is the gradual gap that opens between them, so that each can look neat on its own while it quietly disagrees with the other two.
Drift matters more now that AI coding agents treat the documentation as the truth. When it still describes how the product worked three releases ago, or when the tests pass without covering the changes that matter, the next developer or AI agent picks up where the last one left off, assuming everything is up to date.
What does drift cost the business?
Drift rarely causes an immediate failure: the product keeps working, customers stay happy, and the team moves on to the next release. Meanwhile, the AI coding tools work from the wrong picture, and the business pays for it three times:
- Higher AI spend. The tools guess, get it wrong and try again, and every retry adds to the bill.
- Slower engineers. Developers spend their time checking, correcting and re-prompting AI output instead of building.
- Costly clean-up later. Whatever slips past review piles up until the team has to stop and stabilize the product.
By the time any of this becomes noticeable, the problem has usually been building for several releases. Finding where the drift is lets the team fix it once instead of paying for it with every release.
"Is the product getting stronger, or are we just going faster?"
Sooner or later, someone who funds or oversees the product asks exactly this. It may be a board member, an investor during due diligence or a buyer reviewing the software before an acquisition, and each of them wants to know whether the documentation and tests still match what the code does, how much risk the last few releases have added, and what the shortcuts taken to meet a deadline mean for the product going forward.
The CTO can show delivery metrics, test results and bug reports, but none of them answers that question directly. Without a record, the answer often comes down to "we have some technical debt" with no number behind it, and the reviewer either takes the team's word for it or goes and checks.
How does Coherence Auditor measure software health?
Coherence Auditor built by WaveAccess works as reconciliation for software. It checks whether code, tests and documentation still agree with each other, reviews the code itself for quality and security, and turns the result into one score out of 100. The score answers two questions a board can follow, whether the product is well built and whether code, tests and docs agree, and every point in it traces back to a finding the engineers can open, down to the file and line.
The audit runs in three steps:
- The team gives read-only access to one repository. Nothing changes in its pipeline, and no copy of the code is kept.
- Coherence Auditor runs the audit. Automated checks compare code, tests and docs and review quality and security, and a WaveAccess engineer reads the report before it reaches the client.
- The client receives a full report along with the score. It contains a leadership summary and every issue ranked by severity with its impact, recommended fix, file and line, and shows where the gaps cost the team AI spend and engineering time.
After the first audit, the team can run it again before each release or add it to its pipeline, so the score builds into a release-by-release record.
Moving fast on purpose, with the trade-offs on record
Moving faster is sometimes the right call, as long as the team knows what it traded for the speed. In an illustrative example across five releases, the score dips in the fourth because the team accelerated delivery on purpose, the findings show where it accepted the risk, and the fifth release shows the risk was paid back.
With that record in hand, a CTO can tell the board: "Our score dipped this release. We chose to speed up delivery, and here is exactly where we accepted the risk." That is a very different conversation from "we have some technical debt," and it makes the audit work more like a management control than another engineering dashboard.
See what your product would score
An audit starts with a 30-minute call and one repository. Learn more at coherenceaudit.ai.
FAQ
How is Coherence Auditor different from a code-quality tool?
Many tools look at separate pieces of the code. Coherence Auditor checks whether everything still hangs together, meaning whether the code does what the documentation says and whether the tests actually check it. It is also built for the people who fund and oversee the product as well as for developers.
Do we need to install anything or share our code?
There is nothing to install, and no copy of the code is kept. The audit starts with read-only access to one repository.
When does an audit pay off most?
Before a funding round or investor due diligence, while the team grows fast under delivery pressure, at a handover between teams or vendors, and before an acquisition or a modernization program. Run before each release, it also becomes an ongoing record of product health.
