1.7
26 August 2026
Added
A schema diagram is a commodity. One that tells you which agent added which column is not. Schema shows every table in a repository, how much of it was machine-written, and what an open pull request is about to do to it.
- Entity map grouped by domain, with foreign keys drawn between tables
- Authorship split on every table —
session_locks is 100% machine-written, memberships entirely human - Per-column origin in the inspector, naming the agent and the pull request behind each alteration
- A marker on any table with a pending change from an open pull request
1.6
22 August 2026
Added
Getting started should take a minute, and it should be obvious what you are agreeing to. The new flow states the permissions in plain language — including the one that matters most.
- Read-only by design: Diffport cannot change your code, and the install screen says so
- Pick repositories individually rather than granting access to everything
- The first scan shows its working — reading history, resolving signals, parsing DDL, scoring risk
1.5
18 August 2026
Added
The product should not require you to remember to open it. Alert rules watch for the things that actually matter and deliver to Slack, email or a webhook.
- Rules for destructive DDL from an agent, high-risk merges without human review, falling trust scores and untraced commits on main
- Severity as a coloured edge on the row, not a wall of red
- Acknowledgement is a state on the alert, not a per-person read flag — a team surface, not an inbox
1.4
14 August 2026
Added
For an auditor, a client hand-off, or a security questionnaire. Choose a scope, choose what goes in, and get a report signed against the commits it covers.
- Scope a report to a repository, a date range, or a single pull request
- PDF, JSON or CSV
- An expired share link never invalidates the attestation — the report stays verifiable, only the link lapses
1.3
8 August 2026
Added
Nine agents across eight vendors, ranked. Not on volume — on risk rate, reverts, test-coverage delta and review load.
- Claude Code, Cursor, GitHub Copilot, OpenAI Codex, Qwen Code, DeepSeek, Lovable and Replit
- Schema exposure reported separately, never folded into the score: knowing an agent is 3.1× more likely to ship risk when it touches the database is a routing decision
- Volume is deliberately not a factor. Two hundred pull requests does not make an agent trustworthy
1.2
1 August 2026
Added
Open any pull request and see who wrote each run of lines — which agent, which model, which session, and the evidence behind the verdict.
- Attribution blocks rather than per-file colouring, because a file is rarely written by one author end to end
- Every signal carries its own confidence, and the reported figure is the weakest link in the chain
- Untraced is its own state, never quietly reported as human
1.1
24 July 2026
Added
Improved
A year of machine-written commits at a glance, plus the numbers that tell you whether review is keeping up.
- Daily contribution heatmap across every connected repository
- Schema changes reaching main, split safe against destructive
- Time to merge by author type — the measurement that shows review, not generation, is the bottleneck
1.0
15 July 2026
Added
The review queue, ordered by risk rather than by date. Every pull request tagged with its true authorship and scored across data loss, security, performance and test coverage.
- Risk score with all four factors shown, never a single opaque number
- Schema impact on every pull request that touches the database layer
- AI authorship raises the review requirement, not the risk score — a tool that flags all machine-written code as dangerous teaches people to ignore it
