CTO due diligence interview questions in a software sale, and how to prepare answers
In a CTO due diligence interview, buyers ask about architecture, repositories, engineering process, incidents, security, contractor IP, open source and AI coding tools, then test each answer against the data room. Prepare by pairing every likely question with a document or repository link. The same engineering history, such as pull requests, tickets and postmortems, is what AI developers license.
Why the CTO interview is an evidence test
The technical interview is where a buyer checks whether the engineering story in the CIM holds up. Expect the diligence team, which may include an outside technical adviser as well as the buyer's own engineering lead, to arrive with repository access, the ticket export and the contractor list already open, and to ask questions they can verify during the call. If you say all code was written by employees, expect a request for the contractor list and the signed assignment for each name on it.
A confident answer that the data room contradicts costs more than an honest gap with a fix attached. Use the checklist below in a rehearsal with your CEO and sell-side advisor, and write the supporting document or link next to each item.
The CTO interview checklist
Architecture and product
- Can you draw the current architecture, including third-party services and where customer data is stored?
- Which components are the oldest, and what is the plan for them?
- What would break first if usage doubled, and what evidence supports that view?
- Which roadmap items depend on people who might leave after closing?
Repositories and code history
- Are all production repositories in the company's organization account rather than a founder's personal account?
- How far back does commit history go, and was it preserved when you changed hosting providers?
- Are branch protection and required reviews switched on for main branches, and since when?
- Can you show a typical pull request with its review comments, linked ticket and test results?
Engineering process and Jira
- Where is work planned, estimated and prioritized, and how far back does that record go?
- How consistently do tickets link to the commits or pull requests that closed them?
- Is technical debt tracked in a list the buyer can see?
- What are the release cadence and the rollback procedure?
Incidents, security and reliability
- Where are incident records and postmortems kept, and how many exist?
- Which security assessments or penetration tests were run, and were the findings closed?
- Who has production access, and how is it granted and revoked?
- Have there been any breaches or customer-reported security issues?
People, contractors and IP ownership
- Is there a list of every contractor, agency and offshore team that wrote code, with dates?
- Did each one sign a written IP assignment, and can you produce it?
- Did every employee sign invention assignment and confidentiality agreements?
- Is any code owned personally by a founder or by a previous company?
Contractors draw extra scrutiny for a legal reason. A work prepared by an employee within the scope of employment is a work made for hire owned by the employer, but a commissioned work from a contractor qualifies only if it falls within one of nine categories listed in the Copyright Act and both parties signed a written agreement saying so (17 U.S.C. 101). Software is not named among those categories, which is why buyers' counsel look for a signed assignment from each contractor rather than relying on work-for-hire wording. The Copyright Office's Circular 30 on works made for hire explains the rules in plain language.
This is general information, not legal, tax or financial advice. Confirm with your own counsel before acting.
Open source and third-party code
- Is there a current inventory of open-source components and their licenses?
- Is any copyleft-licensed code distributed inside the product?
- Which commercial SDKs or APIs are embedded, and do their terms survive a change of control?
AI coding tools
- Which AI coding assistants do engineers use, and on which plan and terms?
- Is there a written usage policy, and when was it adopted?
- How is AI-suggested code reviewed before merge?
The guide to AI-generated code in due diligence covers this area in depth, including what sellers put in the disclosure schedule.
Records and retention
- Which engineering systems have been retired, and were complete exports kept?
- How far back do the issue tracker, incident tool and engineering chat go?
- Who can export these systems today?
How to use your answers
| Result in rehearsal | What it means | Next action |
|---|---|---|
| Answer and evidence match | Ready for the interview | Add the link or document to the data room index |
| Answer is right but evidence is scattered | Expect follow-up requests | Assemble one folder per topic before the meeting |
| Known gap with a fix | Manageable if disclosed early | Start the fix now and disclose it with a timeline |
| Gap with no clean fix, such as a missing contractor assignment | Possible price, escrow or indemnity issue | Brief deal counsel and seek a confirmatory assignment |
| Answer conflicts with the data room | Credibility risk across the whole process | Correct the data room or the answer before the meeting |
The guide to deal killers in due diligence explains which records problems tend to reprice a deal and which ones end it.
The same history is what AI developers license
The material a buyer inspects to judge engineering quality is also what AI developers seek out when they build and test agents that write software. Public repositories mostly show finished code; a private history shows how a team reasoned, disagreed and corrected course.
| Diligence evidence | What it proves to an acquirer | Why it matters for a license |
|---|---|---|
| Pull requests with review comments | Code review works in practice | Captures reasoning and revision, not just final code |
| Tickets linked to commits | Work is planned and traceable | Pairs each task with its outcome |
| Postmortems and incident timelines | The team learns from failures | Records decisions under pressure, with results |
| Signed employee and contractor assignments | The company owns its code | Confirms the rights a license depends on |
| Exports of retired systems | The history is complete | A longer history makes a more useful dataset |
Ownership answers prepared for diligence therefore do double duty as the rights evidence a license needs. If a sale and a license are both on the table, sequence them deliberately; the options are laid out in the dual-track M&A process guide, and the page on an AI company's offer to buy data during a sale covers unsolicited approaches.
Red flags to fix before the interview
- Production code in a personal account or a former contractor's repository
- Early contractors with no signed assignment
- Commit history lost in a migration or squashed into a single commit
- Postmortems that exist only in chat threads nobody can export
- Customer data copied into development or test environments
- No written policy on AI coding tools
Where SourceX fits for a software company
SourceX handles data licensing for US businesses that have had 50+ full-time employees at peak (contractors excluded), documented work going back several years, ownership of the records they would license, and a sponsor with authority to sign, such as the owner, CEO or CFO. The company lists its systems and years of history in an inventory, agrees price and terms, and only then do buyers review it; records move only under an executed agreement. Check the baseline on who qualifies.
Advisors who introduce a software company make the introduction and nothing more. Partners earn 25% of the eligible platform fees SourceX actually collects from the referred company's licensing deals, capped at $100,000 per referred company, payable only after the buyer pays and SourceX receives its fee. No reward is guaranteed.
Next step
A CTO or CEO who wants an early read on fit can use the company fit checker, a preliminary screen that needs no contact details, then apply at sourcex.si/apply. Advisors preparing software clients for a sale can register as a partner and introduce them.
- Step 1Share your linkSend your personal link to a company you know.
- Step 2Company appliesThe company applies itself at /apply.
- Step 3Buyer selects and paysThe buyer selects and pays for the data and SourceX receives its fee.
- Step 4You get your rewardYour share of SourceX fees becomes payable.
Common questions
Who should attend the technical due diligence interview for the seller?
Usually the CTO or head of engineering, with the senior engineer who knows the oldest parts of the system available for follow-ups. The CEO and sell-side advisor often join to keep answers consistent with the CIM. Keep the group small, agree in advance who answers which topics, and leave legal questions such as IP ownership to deal counsel.
When should a CTO start preparing for diligence questions?
Start while the data room is being built, not in the week of the interview. Gaps such as missing contractor assignments, lost commit history or undocumented incidents take time to fix or document, and some need signatures from people who have left. A rehearsal with the sell-side advisor before management meetings shows where answers and evidence diverge.
What if an early contractor never signed an IP assignment?
Tell deal counsel early. A common fix is a confirmatory assignment signed now, drafted by counsel. If the contractor cannot be found, buyers may ask for a specific indemnity, an escrow or a rewrite of the affected code. Hiding the gap is worse than any of these outcomes, because it will surface when the buyer reviews the contractor list.
Do buyers ask about AI coding assistants in technical diligence?
Expect them to. Have the written policy, the list of tools and plans, and examples of reviewed pull requests ready to show. The aim is to demonstrate that the company knows where AI-assisted code sits and that it passed through the same review as everything else, so the topic does not turn into a special indemnity in the purchase agreement.
Does preparing for a data license mean exporting our code?
No. The first step is an inventory listing systems, years of history and what could be exported, without moving any records. Scope and redaction rules come first, settled with the company itself, and delivery waits for an executed agreement and the company's sign-off. Advisors who make the introduction never handle the records.
Related pages
- AI-generated code in due diligence: the questions buyers ask and how sellers answer
- Deal killers in due diligence, and the records problems behind them
- How a dual-track M&A process works, and where a data license fits as a third track
- An AI company offered to buy a client's data mid-sale: what should the advisor do?
- Which US businesses are a fit for a SourceX data licensing introduction
- Check Company Fit for Data Licensing
Free resources
- Portfolio data opportunity scanner — Screen several companies in one session.
- Working capital calculator — Net working capital, current ratio and quick ratio.
- Due diligence checklist generator — A tailored document request list by deal type.
- All free tools · MCP resource center
By SourceX Partnerships Team · Published 2026-10-09 · Updated 2026-10-09
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