What Breaks First in AI-Built Apps
AI-built apps break first at authorisation, database access rules, leaked secrets and unverified payment webhooks, not at the feature they were built to demo. They fail at the thing nobody demonstrate

A code audit report earns its fee when it contains four things: an executive summary the person paying can act on, findings ranked by severity that cite specific files and lines, an architecture assessment that answers whether the system survives your next twelve months, and a prioritised remediation plan with effort estimates against each item. A document missing any one of those is an opinion in a PDF wrapper, and you can usually tell which you are buying before the money moves.
Audit reports are bought by people who cannot fully evaluate them. That is exactly why the format matters more than the prose.
The summary exists for the founder, the board member, or the acquirer who will never open the codebase. It should state, in plain language, what condition the system is in, what the two or three things are that could actually hurt the business, and what happens if nothing changes for six months.
What it should not do is hedge. "There are some areas of technical debt that could be addressed" tells you nothing. "Payment webhooks are processed without idempotency checks, so a retried callback can double-charge a customer" tells you what to do on Monday.
A summary written to be quotable in a board deck is doing its job. A summary written to protect the reviewer from being wrong is not.
The single strongest signal of a real review is file paths and line numbers. "Error handling is inconsistent" is a category. "src/api/orders.js:214 swallows the exception and returns 200" is a finding. Only one of those can be handed to a developer.
Every finding in the body of the report should carry:
Severity ranking is also where a lot of reports quietly cheat. A list of forty "medium" items is not a ranking. If a reviewer will not tell you which three things to do first, they have moved the hard judgement call back onto you and kept the fee.
Our own Tech Audit is a 47-item report delivered in five business days at $4,999, scoped to one primary codebase and its deployment configuration, with anything beyond that quoted before we start. It carries a one-page action plan ordered by risk and effort and a 30-minute walkthrough call. The one-page ordering is the part that takes the longest to write, and it is the part clients actually use.
Plenty of reviewers will tell you they would have chosen a different framework. That is not an assessment. The question the report has to answer is whether the current shape of the system survives the growth you are planning, and where it breaks first when it doesn't.
That means naming the specific limit. Sessions held in process memory that stop working the moment you run a second instance. A synchronous export endpoint that will time out somewhere past a few thousand rows. A single database that every feature reaches into directly, so nothing can be changed without touching everything. Each of those has a threshold, and a useful report estimates it rather than gesturing at "scalability concerns". The AI-built version of this list is narrower and more predictable than most: see what breaks first in AI-built apps.
The honest version of this section sometimes concludes that the architecture is fine and the problem is delivery process. Reviewers who cannot reach that conclusion are not assessing anything.
A findings list ordered by severity is not a plan, because severity ignores cost. A critical issue that takes three weeks and a moderate one that takes an afternoon should not sit adjacent in your calendar. The plan has to interleave the two, and it has to say roughly how long each item takes so you can decide what fits before your next raise or release.

Estimates in developer-days are enough. Precision is not the point; relative weight is. If everything in the plan is unestimated, the report has handed you a wish list.
A published starting price is not the problem. Several good providers publish one: The Yellow Labs quotes a fixed price from $995 with a report in five business days (theyellowlabs.com, Aug 2026), and Data Jackson publishes $1,297 on a 72-hour clock, up to two repos and a roughly 50k line-of-code cap, with no fixes included (datajackson.com, Aug 2026). Note what Data Jackson's price carries with it: an explicit scope boundary.
The red flag is a firm final number for *your* system with no boundary attached. Effort in an audit tracks the number of distinct subsystems, not the number of files, and nobody knows that count from a sales call. An unbounded fixed price gets reconciled somewhere, and the usual place is depth: the reviewer stops when the budget is used, and you get whatever was found by then.
Ask who is reading the code and how long they have been shipping production systems. Audits are close to pure judgement work, and judgement does not average out across a team. Providers who compete on this say so plainly: GreeLogix advertises delivery from $500 in five days with two senior reviewers (greelogix.com, Aug 2026).
If the answer is a company name rather than a person, assume the work may be delegated to whoever is free. That is fine for a linting sweep. It is not fine for the architecture section, which is the part you cannot check.
This one is close to decisive. Ask for a redacted sample. Providers who write good reports usually have one, because it is their best sales asset, and a refusal often means the deliverable is a tool dump with a cover page.
Read the sample for the four things above. Skip the executive summary's tone and go straight to a mid-severity finding. If it cites a file and a line, the rest of the report is probably real.
"Audit and fixes included" sounds like more value and usually buys less of both. Reviewing and repairing are different jobs with different incentives, and the reviewer who will also do the remediation has a quiet reason to grade the codebase harshly.
Some providers are transparent about this and price it as what it is. Ego Eimi charges about $5,000 to $15,000, credited 100% to a build (egoeimi.org, Aug 2026), and Afterbuild Labs sells a $49 Async Audit separately from a $7,499 Finish My MVP engagement (afterbuildlabs.com, Aug 2026). Credited-to-build is a legitimate model as long as you can see the boundary. Invisible bundling is the failure, not bundling.
If "you should rebuild" arrives before anyone has read the code, it is a proposal, not a finding. A rebuild is sometimes the right answer, but it is a conclusion that requires evidence about which parts of the system are genuinely beyond repair, and that evidence only exists after the review. We wrote up how that call should be made in code audit vs rebuild.
Every provider quoted above prices remediation separately from the audit, and two of them (Ego Eimi, Afterbuild Labs) publish a build engagement alongside it. What the audit fee buys is findings; the repair is a second conversation. Price alone therefore tells you very little about what lands in your inbox.
Compare shapes rather than numbers. Enviera publishes from $950 with a 72-hour turnaround (enviera.com, Aug 2026). Muneeb Hussain lists $1,250 as a one-off over one to two weeks (themuneebh.com, Aug 2026). BearingGate splits a $1,500 Pre-LOI Scan from a $5,000 TrueBearing Report in seven days and a $9,500 Plus tier (bearinggate.com, Aug 2026). Jezen Thomas offers a standard memo at GBP 4,000 and a deep dive at GBP 7,500 in five to seven business days (jezenthomas.com, Aug 2026). Brival starts at $5K, fixed all-in (brival.co, Aug 2026). madewithlove publishes no price and quotes around two weeks, stating it has audited 180+ startups (madewithlove.com, Aug 2026).
Those are not competing offers for one thing. A 72-hour turnaround and a two-week engagement cannot be reading at the same depth, and a due-diligence memo written for an acquirer answers a different question than a founder's remediation plan. Decide which question you are asking first, then compare only the providers who answer it. We keep the current figures side by side on our fixed-price audit comparison and our technical due diligence comparison. If the question is an investor's rather than yours, the preparation is different. See the technical due diligence checklist for founders.
If your budget is under a thousand dollars, we are not the right call and will say so. The lower tiers above are real work at real prices, and a $950 read beats no read.
Length is a bad proxy. A tight twenty pages with file-level findings beats sixty pages of generic advice. Check the ratio of specific references to general statements on any three pages, chosen at random.
It should say explicitly what security work was and was not done. A general code audit typically covers obvious classes of vulnerability found while reading, not penetration testing. If you need a formal security assessment, buy that separately and say so up front.
Yes, and you should. Ask for section headings, whether findings cite file and line, and whether the remediation plan carries effort estimates. Any provider who writes real reports will answer in a sentence.
Push back and ask for the reasoning. A good reviewer will either defend it with the code in front of them or downgrade it. Reports that cannot survive a walkthrough call were not written from the codebase.
Usually yes, if you match the scope to the question. A low-cost review catches obvious security and reliability problems well. What it will not give you is a defensible architecture opinion, and it is worth knowing which of the two you paid for. We break the tiers down in how much a code audit costs.
The document should stand alone. The call is where you find out whether the reviewer understands your system or has been describing it from the outside, which is worth thirty minutes before you commit budget to the plan.
Written by
Founder & CEO
Founder & CEO of Robust Devs. Leads delivery and works directly with every client, across AI marketing, healthtech, and fintech builds, and has done since 2019.
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