PE and VC firms need code-level visibility before closing a deal. VibeRails gives due diligence consultants structured, evidence-based findings – fast enough for deal timelines and confidential enough for sensitive transactions.
Technical due diligence for acquisitions typically relies on interviews with the target's engineering team, architecture diagrams provided by the seller, and a senior engineer's assessment based on a few days of code browsing. This approach has obvious limitations. The seller's team presents their best version of reality. Architecture diagrams describe intent, not implementation. And no engineer can meaningfully assess a codebase of any significant size in a few days of manual review.
The result is that most technical due diligence reports contain qualitative assessments rather than quantitative findings. Statements like “the codebase appears reasonably well maintained” or “some areas of technical debt were observed” tell the deal team little about actual risk. They cannot be used to negotiate purchase price adjustments, structure earnouts, or estimate post-acquisition remediation costs.
What deal teams need is an objective, structured inventory of code quality issues – categorised by severity, mapped to specific files, and quantified in a way that translates to business risk. VibeRails produces exactly this. A full-codebase scan generates findings across 17 detection categories, each with severity ratings, file locations, and descriptions that non-technical stakeholders can understand.
Acquirers routinely discover problems after closing that a structured code review would have surfaced during diligence. These are not edge cases – they are common patterns that repeat across transactions:
Each of these categories has a direct financial impact. Security remediation, architectural refactoring, and dependency upgrades all require engineering time that was not in the acquirer's post-close budget. VibeRails surfaces these issues before the deal closes, when the information has maximum leverage.
A VibeRails report is not a wall of text. It is a structured dataset of findings, each tagged with category, severity, file location, and description. This structure is designed to feed directly into the deliverables that due diligence consultants produce for their clients.
The HTML report provides a navigable overview suitable for presentations and stakeholder reviews. Technical and non-technical deal team members can browse findings by category and severity without needing to understand the underlying code. The visual presentation makes it straightforward to communicate the scale and distribution of issues.
The CSV export is where the data becomes actionable. Import findings into a spreadsheet to build risk matrices. Feed them into project management tools to estimate remediation effort. Include them as appendices in investment memos with specific finding counts by severity. When a deal team can say “the target has 23 critical security findings and 41 high-severity architectural issues”, the conversation about valuation adjustment or remediation escrow becomes evidence-based rather than opinion-based.
For consultants who assess multiple targets, VibeRails provides a consistent methodology across engagements. The same 17 categories, the same severity scale, the same output format. This consistency makes it possible to compare codebases across different acquisition targets and build benchmarks over time.
Deal timelines do not wait for lengthy code audits. Traditional manual reviews take weeks to schedule and complete. By the time findings are ready, the diligence window may have closed or the deal dynamics have shifted. VibeRails produces a full-codebase analysis in hours, not weeks. A consultant can receive a code drop on Monday and deliver structured findings by Tuesday.
Confidentiality is non-negotiable in M&A transactions. VibeRails is a desktop application that runs on your local machine. VibeRails does not upload repositories to VibeRails servers. The BYOK model means the AI analysis uses your own Claude Code or Codex CLI subscription; review requests go directly from your machine to your AI provider under your own account. VibeRails does not run a SaaS review backend and does not proxy your requests. The HTML report is generated locally and can be shared under your NDA.
For consultants working under NDA with strict data handling requirements, this architecture keeps VibeRails out of the data path. You still need to evaluate whether sending code to your AI provider is permitted under the engagement terms. If a client forbids transmitting code to any external AI provider, you should not run an AI review; use an offline/manual audit instead.
VibeRails requires no integration, no onboarding process, and no vendor relationship. Download the desktop application, point it at the target's repository, and run a scan. The free tier includes 5 issues per review, which is enough to evaluate the output quality and decide whether the structured findings add value to your diligence process.
The lifetime licence is $299 per developer. Subscribe monthly at $19/mo or buy the lifetime licence once. No per-engagement fees, no usage-based pricing that scales with the number of targets you assess. Each licence covers one developer across every engagement, every codebase, every deal. For a consultant whose billable rate exceeds the licence cost in a single hour, the return on investment is immediate.
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