The Seller's Guide to Technical Due Diligence

If you're selling your company, the technical due diligence process is the moment a buyer's engineering team (or their hired firm) looks at everything you've built — and decides whether it confirms or undermines the valuation you're asking for. Most founders prepare their financials meticulously and prepare their tech not at all. That's a mistake that costs real money.

You've spent years building the product. You know its strengths and its rough edges. The question is: does the buyer's DD team find the same things you know about — or do they find surprises?

Surprises during DD kill deals or compress multiples. Known issues, properly contextualized, become talking points you control.

This guide is for founders and CTOs going through an acquisition process. It covers what buyers actually check, what kills deals, what to fix before you grant access, and how to present your technology in the best honest light.

Why sellers ignore this (and why it costs them)

Technical due diligence is typically buyer-initiated, buyer-scoped, and buyer-interpreted. As the seller, you hand over access and wait for findings.

Most sellers do nothing to prepare. They assume the code speaks for itself.

It does — but without context, all code looks worse than it is. A two-year-old TODO comment looks like negligence. A monolithic architecture looks like technical debt. A codebase with no tests looks like chaos. Without someone to explain why decisions were made and what's been done since, buyers price in risk that may not actually exist.

The prepared seller:

• Fixes the fixable issues before access is granted
• Documents the context behind non-obvious decisions
• Prepares the engineering team to answer questions confidently
• Guides the buyer through the codebase rather than leaving them to wander

What buyers actually check

Understand the buyer's DD process. They're typically evaluating 7 areas:

1. Architecture — Can this scale? Is it maintainable?
2. Code quality — Can a new team take this over?
3. Security — Are there vulnerabilities that create liability?
4. Infrastructure — How operationally mature is this?
5. Testing — How confident can they be in changes post-acquisition?
6. Team and knowledge risk — What happens if key people leave?
7. Licensing and compliance — Are there legal landmines?

For each area, buyers are answering: is this an asset we're buying or a liability we're inheriting? That inheriting lens applies just as much to operationally-critical software with no external users — see our guide on technical due diligence for internal tools for what to check before you take ownership.

The pre-DD audit: what to do before granting access

Give yourself 4–8 weeks before granting access. Use that time to run your own internal DD.

Fix immediately (high impact, relatively fast)

Security issues:

• Run npm audit or the equivalent. Resolve all critical and high vulnerabilities. These are automatic red flags.
• Rotate any API keys or secrets that have ever been in source code or git history
• Check for hardcoded credentials in old commits: git log -p | grep -i password
• Ensure all routes are protected — run through your own app as a non-authenticated user

Obvious code hygiene:

• Delete dead code — files that aren't imported, functions that aren't called
• Remove console.log, commented-out code blocks, and TODO comments that have been there for years
• Rename any files with names like utils2, helpers_old, temp_fix

Documentation:

• Update the README so that someone can actually clone and run the project
• Write a brief architecture overview — even one page — explaining the main services and how they connect
• Document the deployment process: what does a production deploy look like?

Decide what to fix vs. contextualize (medium impact)

Not everything can be fixed in 4–8 weeks, and trying to rush major refactors before DD is risky — you might introduce new bugs. For larger issues, decide: fix it, or document it honestly with context.

Technical debt you can't fix before DD: Write a short "known issues" document. For each issue, explain:

1. What it is
2. Why it exists (usually a speed vs. quality tradeoff that was intentional)
3. What the remediation plan is and a rough cost estimate
4. Why it hasn't blocked growth so far

This turns a surprise finding into a controlled narrative. The buyer's team will find it anyway — you'd rather they find your documented note than stumble on it and assume the worst.

Architecture decisions that look odd: Every codebase has decisions that look wrong without context. A monolith isn't necessarily bad. Lack of microservices isn't a failure. Document the reasoning: "We chose a monolith because we have a team of 4 engineers and wanted deployment simplicity. We've grown from 0 to ₹3Cr ARR on this architecture with no scalability issues."

Don't rush major changes right before access

Resist the temptation to launch big refactors the week before DD. Rushed changes introduce bugs. A codebase with a recent large diff that broke something looks far worse than one with a stable, slightly messy but functional state.

Fix small, clear issues. Document large ones. Leave the rest alone.

Preparing your engineering team

The buyer's DD team will likely want to talk to your engineers — not just read the code. Prepare them.

Brief your team on what to expect

Tell them:

• DD is a normal part of any acquisition process
• They'll be asked questions about architecture decisions, technical debt, incident history
• Honest answers are the right answers — attempting to hide issues will be discovered and will damage trust
• They shouldn't volunteer information beyond what's asked, but they should answer questions directly

Run a practice session

Have someone unfamiliar with the codebase ask your CTO/lead engineer tough questions:

• "What's the worst part of this codebase?"
• "What would you rebuild first?"
• "Have you ever had a data incident?"
• "What happens if [key engineer] gets hit by a bus?"

The goal isn't to rehearse answers — it's to make sure your team can answer confidently and honestly without being caught off-guard.

Designate a single technical point of contact

During DD, the buyer's team will have questions. Designate one technical person (usually the CTO or lead engineer) as the primary contact. This prevents inconsistent answers from different team members and keeps the process controlled.

Granting access: what to give and how

What to provide

• Code repository access — typically read-only access to the main repo(s). Verify no secrets are in git history first.
• Architecture overview document — your one-page write-up explaining the system
• Known issues document — your honest assessment of the biggest technical weaknesses
• Incident log — a summary of P1 incidents in the last 12–24 months and how they were resolved
• Infrastructure documentation — how the system is deployed, where it runs, what it costs
• Access to staging/production monitoring — let them see Datadog, Sentry, or equivalent (not just tell them about it)

What NOT to provide without controls

• Production database access — buyers don't need direct DB access; exports of schema and anonymized data are sufficient
• Customer PII — data access should be scoped and under NDA before anything is shared
• Live production SSH access — read-only is fine; write access to production is not appropriate during DD

NDA and access agreements

Ensure a proper NDA is in place before any code or infrastructure details are shared. For sensitive systems, add a data access agreement that specifies what can be reviewed, how it can be used, and what happens to access after the process ends.

The issues that actually kill deals

Most issues are priceable — they become negotiation items. A few are deal-killers:

Data security incidents that weren't disclosed If there was a breach and you didn't disclose it, and the buyer finds evidence in logs or commit history — the deal is over, and you may face liability.

Fraudulent revenue attribution If the billing system has bugs that inflated reported MRR, and the buyer reconciles billing data against financials — the deal price collapses and the deal itself may collapse.

IP ownership ambiguity Code written by contractors without proper work-for-hire agreements, or code that's clearly borrowed from other projects (former employers, clients) — creates legal risk that sophisticated buyers walk away from.

Dependency on the founder's personal accounts If AWS, Google Cloud, or Stripe are under the founder's personal email with no organizational account structure — that's an operational risk that needs immediate remediation before DD, not after.

Hidden critical security vulnerabilities A SQL injection or auth bypass in a product handling customer financial data isn't a negotiation item — it's a liability that buyers won't take on at any price without a warranty period and escrow holdback.

How findings typically affect your deal

Findings your team presents proactively:

• Are contextualized with your explanation
• Have a remediation plan already attached
• Don't surprise the buyer's team
• Are priced in based on your estimates, not theirs

Findings the buyer's team discovers without warning:

• Are interpreted at worst-case value
• Shift negotiating power to the buyer
• Can derail the process if they feel you were withholding information
• Get priced based on the buyer's (typically higher) remediation estimates

The difference between a clean exit and a compressed multiple is often just preparation.

What to do if you're 3–6 months from a potential exit

If you're not yet in a formal process but are preparing for one:

1. Run an internal technical audit now — either self-directed using our technical due diligence checklist or by hiring an independent firm
2. Fix security issues immediately — these have zero acceptable remediation window
3. Invest in test coverage — a codebase with reasonable tests signals engineering discipline
4. Write architecture documentation — even a Notion page with a diagram
5. Reduce bus factor — make sure at least 2 engineers understand every critical component
6. Clean up your git history — rotate any exposed secrets and scrub credential commits

Six months of light, focused investment in these areas can meaningfully improve your exit valuation.

The bottom line

Technical due diligence isn't something that happens to you — it's something you can shape. The sellers who get the best outcomes are the ones who treat DD as a presentation, not a surprise inspection.

Know your weaknesses before the buyer does. Document the context behind non-obvious decisions. Fix the fixable. Prepare your team.

The goal isn't to hide problems — sophisticated buyers will find them. The goal is to show that you understand your technology, you've been honest about its limitations, and you have a plan.

That's the difference between a founder who built a product and a founder who built an asset.

If you're selling a SaaS business specifically, the buyer's evaluation framework has additional dimensions — see our guide to technical due diligence for SaaS acquisitions to understand exactly what they'll be checking. To understand what a post-acquisition rebuild actually costs if issues are found, our fix or rebuild decision guide gives honest cost framing. For a structured checklist to audit yourself against before access is granted, see the technical due diligence checklist.

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Want to know what the buyer will find before they find it?

Sellers who run a pre-DD technical audit close faster and negotiate from strength. Hunchbite assesses your codebase from a buyer's perspective — identifying what will affect valuation, what to fix before access is granted, and what to document so you control the narrative. You'll go into due diligence with no surprises.

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