Technical due diligence for software built with agents
An agentic review shows a buyer how a software asset is built, steered and handed over - without the code ever leaving GitHub.
What a technical due diligence misses in AI-written code
A classic technical due diligence samples the code and interviews the team. In software built with agents, the code itself often looks clean - the risks sit in how it was steered: logic duplicated at machine speed, knowledge that lives in one person's prompts, and changes nobody reviewed. These surface only when someone tries to change, scale or hand over the system.
Code audit without exposing the code
The review runs on GitHub's own runners with read-only access. The code is analysed in memory and discarded; only derived metrics leave GitHub, stored in the EU. A target company can run it and share the report with a buyer without handing over a single line of code.
A technical due diligence checklist for the agent era
Is each business rule defined once? Are dependencies locked and maintained? Do tests guard the agents' work? Are agent instructions versioned and reviewed? Could someone else take over tomorrow? AgenticReview answers each from the git history, over time and against the market.
Who runs it - buyer or target
Either. The target connects GitHub and shares the report; the buyer sees scores, trends and the written analysis, never the code. Results are reported per product and for the company, never per individual.