SA

Squire AI

✓ verified, sync 2026-08-20

11 checks on record, most recent 2026-11-02 (responded).

Community scorenot yet rated
First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Most recent check 2026-11-02
Result: responded.

Checked on 11 distinct dates, since 2026-09-03. Checked roughly every 6 nights on this listing's own record.

2026-11-022026-10-272026-10-212026-10-152026-10-092026-10-082026-10-032026-09-272026-09-212026-09-152026-09-03

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-10-08 and no change was observed since.

No approved price events on record
No approved price change is on record.

Compliance observation.

Privacy policy link2026-10-18
On this date this link was fetched, it answered, and its content matched a privacy policy. Nothing further is claimed.

Not legal advice. This is an observation, not a legal judgment: the link was fetched on this date, it responded, and its content matched a privacy policy. Nothing more is claimed.

What it does.

The vendor's own description, unedited, not our claim.

Squire AI is a context-aware agent designed to assist users in managing coding assignments and pull requests. It operates by writing pull request descriptions and reviewing PRs, all while learning and adapting to your style of coding and code review. It's designed to expedite code review process by offering immediately available, precise, and intelligent feedback. This tool not only helps to enhance code quality by catching issues - ranging from systemic breaking changes and security concerns to minor spelling errors - but also emulates your teams code review style through explicit configuration and learning from your team's interactions. Its prime purpose is to make the pull request process more efficient by providing clear descriptions and changelogs instead of verbose explanations commonly associated with manual reviews. Moreover, the MLOps tool also implements code review feedback, which potentially leads to making fewer errors in subsequent coding task. Aimed at fast-shipping teams, Squire AI offers an inclusive pricing plan based on the number of GitHub users. Notably, the tool strives to speed up the code review procedure and ensure constant codebase improvements.

registry ID ndock:tool:squire-ai