S2 · 1–2 weeks fixed

Agentic-Ready Codebase Analysis

Find out whether AI agents can change your code safely: we test repository structure, specification reachability, gate quality and test independence.

A transparent cabinet of records, data, tests and business functions sits behind a defined boundary. An agent tool waits outside it while blue traces show which customer records a change could affect.

Discuss this engagement

Constructed handover specimen · not a client finding

Can a fresh agent find the governing contract?

Trigger
A task says to add a field, but the schema, policy and older plan disagree.
What you receive
The report identifies the conflicting revisions, what the agent can access and whether the release checks detect a wrong interpretation.
Decision supported
Name the authoritative source, task boundary and required gate before widening agent access.

Who it is for

Teams that want agents to contribute without weakening engineering control.

The work
We inspect how a repository carries intent into code: specifications, task boundaries, test independence, failure-capable gates and whether a fresh agent can find the work it must complete.
The boundary
The result is evidence about this codebase, not a generic AI-adoption workshop or a tool-vendor recommendation.

What you receive

An eight-part score with evidence, a practical improvement plan and a sample failure-capable check.

Duration
1–2 weeks fixed
Price (GBP)
£8,000
Commercial shape
fixed