How to prepare for technical due diligence as a founder

To prepare for technical due diligence as a founder, ship six artifacts in the two weeks before the data room opens: an ARCHITECTURE.md, an updated README, a CLAUDE.md, a clean dependency report, an on-call runbook, and an IP/IA assignment ledger. Then rehearse the 30-minute repo walkthrough out loud, with a clock running. That preparation alone shifts most rounds from "we have concerns" to "we're ready to wire."

Technical DD is the moment a stranger with a CS degree opens your repo and decides whether your business is fundable. Most founders treat it as an exam they'll cram for the night before. The ones who close on schedule treat it as a deliverable, with a sprint, a checklist, and a dress rehearsal.

This post is the prep playbook: what investors and acquirers actually look at, the standard 6-section checklist, the nine red flags that surface in the first hour, a literal day-by-day 2-week sprint, and the artifacts that win the live walkthrough.

What VCs and acquirers actually look at

A technical DD partner usually gets one synchronous call (30 to 90 minutes) and a few days of repo access. They spend 20 to 40 percent of their total time on the first scan. What they look at, in roughly the order they look:

Architecture diagram. Who depends on what, where the money flows, where the data lives. If this isn't drawn anywhere, they draw it themselves while talking to you, and the impression is "founder doesn't know their own system."
Team strength and tenure. Who wrote the load-bearing code, are they still on the team, and what happens if they leave next month.
Code quality signals. Test coverage, PR review depth, churn hot spots, the ratio of refactor commits to feature commits.
Security posture. Secrets handling, auth flow, last pen test, whether .env files have ever been committed.
IP ownership. Every contributor (founders, employees, contractors, the friend who helped one weekend in 2024) has signed a Proprietary Information and Inventions Agreement.
Third-party dependencies. License audit, abandoned upstreams, vendor concentration risk (if Stripe goes down, what breaks).
Infra cost trajectory. Dollars per active user, AWS or Vercel runrate, the 12-month forecast under three growth scenarios.
Key-person risk. Bus factor. If one engineer wrote 70 percent of the code, that's a flag, not a feature.
Data privacy compliance. SOC 2 status, GDPR posture, breach history, retention policy.

Investors typically look for 70 percent test coverage on critical paths (auth, billing, the core write path). Less is fine for non-critical surface area. Zero is a red flag everywhere.

The standard checklist, in 6 sections

Every serious DD firm uses some version of this six-bucket framework. Map your prep to it directly and you'll never be surprised by a question.

Section	What's inside	Artifact you ship
Team	Org chart, tenure, key-person risk, hiring plan	`TEAM.md` or a Notion page with org chart and roles
Code	Repo access, ARCHITECTURE.md, test coverage, CI/CD logs	`ARCHITECTURE.md` + coverage badge + CI dashboard
Infrastructure	Cloud providers, costs, scaling tests, IaC	Terraform or Pulumi repo + cost dashboard screenshot
Security	Pen test, secrets management, auth, incident log	Last pen test PDF + `SECURITY.md`
Data	Schema, retention, backup, GDPR posture	ER diagram + retention policy + DPA template
Business continuity	Runbooks, on-call, DR plan, vendor lock-in	`RUNBOOK.md` + last fire drill notes

If you're hiring contractors, an extra 5 minutes on contributor agreements pays back in spades. Our non-technical founder's guide to managing developers in 2026 covers the operating loop that makes this part painless.

9 red flags DD firms find in the first hour

These are the ones that come up on almost every call. Some kill deals; most become conditions. All of them are fixable in the prep sprint.

Single points of failure. One engineer wrote the auth system, the ledger, or the billing logic, alone, and there's no second pair of eyes on the code paths money flows through.
No tests, or tests that don't run in CI. A test suite that nobody runs is worse than no tests, because it's a lie about discipline.
No CI at all. Main branch deploys from someone's laptop. Investors smell this in the first 5 minutes.
IP mess. Contractors paid in cash, no PIIA on file, code from previous employers in the repo. This is the most common kill-the-deal flag.
Secrets committed to the repo. API keys, .env files, JWTs, AWS access keys in commit history. Even if you removed them, git log still has them.
Prior unresolved security incidents. Mentioned in Slack, never disclosed in the data room. If the DD partner finds this from a Twitter post and you didn't volunteer it, trust is gone.
Dependency rot. 200+ outdated packages, abandoned upstream maintainers, deprecated transitive deps you didn't know you depended on.
Infra cost growing faster than revenue with no dashboard. AWS bill triples but nobody can explain why and there's no per-customer cost view.
Founder has root access to prod and is the only one with it. Combined with key-person risk, this is the bus-factor problem in concrete form.

The kill-the-deal red flags cluster in IP and security, not code quality. A messy codebase becomes a condition. A missing PIIA stops the round.

The 2-week prep sprint, day by day

Two weeks is the minimum that produces a calm DD. Four is comfortable. One is panic mode where you ship half the artifacts and rehearse none of them.

Day	Task	Owner
1-2	Write `ARCHITECTURE.md` and update `README` for fresh-laptop setup	Tech lead
3-4	Write `CLAUDE.md` (or `agents.md`) describing AI-coding conventions	Tech lead
5-6	Dependency upgrade pass: `npm audit fix`, `pip-audit`, license report	Senior or mid engineer
7	Secrets sweep with `truffleHog` or `git-secrets`, rotate anything found	Senior engineer
8-9	Lightweight security audit: auth review, IDOR scan, response headers	Senior engineer
10	PIIA ledger: confirm every past contributor signed; chase the gaps	Founder + ops
11-12	On-call runbook, incident log cleanup, last postmortem written up	Tech lead
13	Rehearse the 30-minute repo walkthrough out loud, with a timer	Founder + tech lead
14	Data room final pass, link audit, permission check	Founder

If you're a solo-technical founder or your CTO is mid-sprint shipping a feature, this sprint costs you the launch. That's the moment to bring in extra hands; we cover that math at the end.

Artifacts that win the 30-minute repo walkthrough

The walkthrough is the most important 30 minutes of the whole process. The artifacts below are what a strong DD partner will ask for in the first 5 minutes. Have them open in tabs before the call.

`ARCHITECTURE.md`

One diagram (whiteboard photo is fine). One short paragraph per service: what it owns, who calls it, what it depends on. Links to the per-service runbook. Total length: one screen.

`README`

A new engineer should be able to clone the repo, run make setup, and have the app running locally in under 10 minutes with no Slack questions. If your README starts with "ask Bob for the env vars," you fail this test.

`CLAUDE.md`

This is the 2026 artifact most older DD checklists miss. It describes how your team uses Cursor, Claude Code, GitHub Copilot, and other AI tools day to day: review gates for AI-generated PRs, prompt-log discipline, what gets human-reviewed and what doesn't, what's banned (e.g., AI-generated migrations without human review). DD firms now ask for this because AI-assisted code raises new IP, license, and quality questions, and a written policy answers them in one document.

Dependency report

Run Snyk, Socket, or npm audit and turn the output into a short action list, not a 400-line dump. Three columns: critical CVEs (fixed or with mitigation noted), abandoned upstreams (replacement plan), license risk (any GPL or AGPL in commercial paths).

On-call runbook

Who's on call this week, how to roll back, where the last incident postmortem lives. The DD partner will not page anyone, but they will check that you could.

The same artifact discipline shows up in our founder mode in 2026 guide on technical product oversight, which covers the daily founder loop that keeps these documents from going stale.

What kills deals vs. what becomes a condition

After enough DD calls, every CTO learns the same lesson: investors forgive almost anything that has a credible plan attached. The flags below kill rounds because they don't.

Kill-the-deal:

IP ownership unclear (contractor code, prior-employer code, missing PIIAs)
Prior breach hidden until DD discovers it
Founder is single point of failure on critical IP and won't or can't change that

Becomes a condition (closes the round on time, with a 30-day fix plan):

Test coverage below 50 percent
No SOC 2 yet (if Series A SaaS)
Infra cost trajectory needs optimization
One key engineer with no documented backup

Doesn't move the needle if you have a plan:

Some technical debt
A few abandoned feature flags
Slow CI

What kills trust faster than any single red flag: the founder discovers an issue during the call. Better to disclose three problems on day one than to have the DD partner find one in week three. Investors fund people they can predict.

When to bring in extra hands before DD

If you're solo-technical, or if your CTO is shipping a launch the same week the data room opens, you don't have a person for the prep sprint. The math here is straightforward:

A Big-4 DD prep firm runs $30,000 to $80,000, takes 3 to 6 weeks, produces a polished report nobody reads twice.
A boutique technical advisor runs $5,000 to $15,000, 2 to 3 weeks, more pragmatic but limited bench.
A senior engineer booked for two weeks of focused prep, hands on the actual repo, runs $3,000 at Cadence's senior tier.

Approach	Cost	Timeline	Pros	Cons
Founder + CTO DIY	$0 cash, 80hr team time	2-4 weeks	Cheapest, deepest context	Pulls CTO off product, often misses blind spots
Big-4 DD prep firm	$30k-80k	3-6 weeks	Investor-friendly report	Slow, generic, expensive for seed/Series A
Boutique advisor	$5k-15k	2-3 weeks	Pragmatic, often ex-CTO	Limited bench, schedule risk
Senior on Cadence	$1,500-3,000 (1-2wk @ senior)	Started in 48 hours	Hands on the repo, AI-native by default, weekly cancel	You scope the work; not a turnkey report

Cadence runs a pool of about 12,800 engineers with a 27-hour median time to first commit. Every engineer on the platform is AI-native by default, vetted on Cursor and Claude Code fluency before they unlock bookings, which matters here because half the prep sprint (dependency upgrades, secrets sweep, runbook drafting) is exactly the kind of work AI tools accelerate when paired with a senior who knows what to ship and what to skip.

Honest framing: if you have a strong CTO with two clear weeks, do it in-house. If you're pre-CTO, or your CTO is on the launch path, book the help. Two weeks of senior time is cheaper than one term-sheet point of dilution.

What to do this week

If your fundraise is more than a month out, start the prep sprint now and amortize it. If the data room opens in 2 weeks, run the day-by-day plan above starting tomorrow. If it opens in 5 days, ship the top three artifacts (ARCHITECTURE.md, README, secrets sweep) and disclose the rest as in-progress with named owners.

The walkthrough rehearsal is the single highest-impact hour of the whole sprint. Set a 30-minute timer, walk a friendly CTO through the repo top to bottom, and write down every question they couldn't answer from the artifacts alone. Those become next week's documentation tasks.

If you need an extra pair of hands for the sprint and don't have time to run a hiring loop, book a senior engineer on Cadence for the 2-week window, with a 48-hour free trial and weekly billing so you can release the engagement the moment DD wraps.

Steps

Define the artifact list. Decide which six documents you'll ship (architecture, README, CLAUDE.md, dependency report, runbook, PIIA ledger) and assign one owner per artifact.
Run the dependency and secrets sweeps. Use npm audit, pip-audit, Snyk or Socket, and truffleHog or git-secrets. Rotate anything you find before doing anything else.
Write ARCHITECTURE.md and update the README. One diagram, one paragraph per service. Setup steps that work on a fresh laptop in under 10 minutes.
Write or update CLAUDE.md. Document how the team uses AI coding tools, what gets reviewed, what's banned. This artifact is increasingly expected in 2026.
Audit IP and contractor agreements. Confirm every past contributor signed a PIIA. Chase the gaps now; this is the most common kill-the-deal red flag.
Run the security pass. Auth review, IDOR scan, response headers, last pen test results refreshed if older than 12 months.
Build the on-call runbook. Page-tree, rollback steps, last incident postmortem written up and linked.
Rehearse the 30-minute walkthrough. Friendly CTO, timer running, write down every question the artifacts didn't answer.
Final data room pass. Permissions, broken links, version dates, owner names on every doc.

If you're prepping for a round and want hands on the repo without running a hiring loop, book a senior on Cadence. Weekly billing, 48-hour free trial, every engineer AI-native by default. Cancel the moment DD wraps.

FAQ

How long does technical due diligence take?

Two to four weeks once the data room opens, plus a 30 to 90 minute live walkthrough with the technical partner. Series A and later rounds run longer than seed. Acquisition DD can stretch to 8 to 12 weeks because the buyer's legal team is also involved.

What's the single biggest red flag in technical due diligence?

Unclear IP ownership. If contractors or co-founders haven't signed Proprietary Information and Inventions Agreements, the deal stops until that's fixed, and sometimes the fix isn't possible without renegotiating with people who've moved on. Get every PIIA signed before you raise, not during.

Do I need SOC 2 before raising?

For Series A SaaS sold to enterprises, yes or close to it (Type 1 in hand, Type 2 in progress with a named auditor). For seed and consumer products, no, but a credible plan with named auditor, timeline, and budget is the floor. Investors don't expect you to have everything; they expect you to know what's coming.

Should I clean up the repo before giving access?

Yes, but stop short of rewriting history. Squash secrets, update READMEs, add ARCHITECTURE.md, fix obvious linter errors. Do not delete embarrassing branches or rewrite git history; investors and their advisors check git log and force-pushed history is itself a flag. If you signed a term sheet recently and haven't read it twice, now is the moment to do that and align the data room scope to what's actually required.

Can I prepare for technical DD if I'm non-technical?

Yes. The artifacts and rehearsal are the same; you just don't write them yourself. Hire or book a senior engineer for two weeks to produce the artifacts and run the walkthrough rehearsal with you. The cost is a small fraction of one term-sheet point, and it lets your CTO (if you have one) keep shipping product through the round.

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