Acrity
Summary
Code review that catches a security hole in a direct dependency but misses the transitive one three layers down — then ships — is the kind of failure that makes post-mortems painful. Acrity runs parallel adversarial review passes across architecture, QA, security, and spec alignment simultaneously, then synthesizes a consensus decision before anything reaches your team.
The core workflow pulls context from linked Jira, Linear, or ClickUp tasks and acceptance criteria, so the review isn't just reading the diff — it knows what the code was supposed to do. Findings are published as labels and inline suggestions directly into GitHub, GitLab, Bitbucket, or Azure DevOps. Every decision comes with a cost and token trace, which satisfies teams that need to justify AI spending per review. The adversarial model — multiple review lenses that challenge each other before a synthesis — catches contradictions that single-pass tools miss. Where it strains is in teams with non-standard VCS setups or PM tools outside the supported list.
Bottom line: Pick this when your team needs traceable, multi-perspective review wired into GitHub or GitLab and linked to Jira tasks — plan around it if your PM tool isn't on the supported list or you need the review logic to run on-premise.
Pricing Plans
Usage-BasedTrial
14-day trial with full Standard access, up to 20 reviews or US$10 in LLM usage
- Full Standard features
- Up to 20 reviews
- US$10 LLM credit
View full pricing on acrity.io →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Parallel adversarial review across architecture, QA, security, and spec lenses runs in a single pass, so a security finding doesn't get suppressed by a spec-compliance pass that reached a different conclusion.
- Task and acceptance criteria context pulled from Jira, Linear, or ClickUp means the review understands the intent of the change — not just its syntax — which surfaces mismatches between what was built and what was spec'd.
- Per-call token and cost tracking on every review decision, so teams with AI spend accountability can attribute costs to specific PRs rather than reconciling a monthly bill against vague usage.
- Direct publication of labels and suggestions into GitHub, GitLab, Bitbucket, or Azure DevOps means developers receive findings in the tools they already use, without a separate portal that introduces review latency.
- Dependency scanning that targets transitive vulnerabilities, so supply-chain risks three layers deep get flagged at review time rather than in a post-deploy audit.
Cons
Sign in to edit- Integration context only works for the supported VCS and PM tool combinations. A team on Perforce or Shortcut gets no task-linked review — they are back to reviewing diffs without intent context, at which point single-pass alternatives with broader integration support become the practical choice.
- No self-hosted or on-premise deployment option exists on the vendor page. Teams under data residency requirements — regulated industries, government contracts, or enterprise security policies that prohibit external code transmission — cannot use the product in its current form and will need to evaluate alternatives that offer a local or private-cloud deployment path.
- The adversarial synthesis adds latency compared to a single-model pass. For teams running review on every commit in a high-velocity monorepo, queuing effects appear before they would with lighter tooling, and the vendor page does not describe a configurable lightweight mode for low-risk changes.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-08T08:36:07.563Z
Best For
Who it's for
- Engineering teams needing traceable AI code review
- Organizations requiring multi-model consensus on changes
- Teams using GitHub, GitLab, Bitbucket, or Azure DevOps
- Projects with linked tasks in Jira, Linear, or ClickUp
What it does well
- Reviewing pull requests with context from tasks and acceptance criteria
- Running parallel architecture, QA, security, and spec checks
- Generating auditable decisions with cost and token tracking
- Scanning dependencies for transitive vulnerabilities
- Publishing labels and suggestions directly into VCS and PM tools
Integrations
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Frequently Asked Questions
- Is Acrity free?
- Acrity has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Acrity open source?
- No — Acrity is a closed-source tool. Source code is not publicly available.
- What platforms does Acrity support?
- Acrity is available on: Web.
Hours Saved & ROI Stories Community
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Curated lists that include this category
Acrity performs what the vendor describes as adversarial code review: rather than a single AI pass over a diff, it runs parallel review lenses covering architecture, QA, security, and specification alignment at the same time. Each lens can surface findings that contradict the others, and a synthesis step resolves those contradictions into a single auditable decision. That decision, along with the full token and cost trace, is published back into your version control system as labels and inline suggestions — no separate dashboard required for the developer receiving feedback.
The differentiating mechanic is the confrontation-and-synthesis pattern. Community reports and the vendor’s own documentation describe the multi-lens approach as generating a ‘consensus’ only after the individual agents have challenged each other’s conclusions. This matters for security review specifically: a lens focused on spec compliance may flag a change as correct while a security lens flags the same change as introducing a vulnerability, and the synthesis is what surfaces that conflict rather than letting one pass suppress the other.
The tool fits engineering teams that operate across GitHub, GitLab, Bitbucket, or Azure DevOps and track work in Jira, Linear, or ClickUp — the review inherits context from linked tasks and acceptance criteria, which changes what ‘correct’ means for each pull request. Where it breaks: teams using PM or VCS tooling outside that list get no integration benefit, and the lack of any self-hosted deployment option means organizations with strict data residency requirements cannot run it. The per-call cost and token tracking is a paid-only feature in terms of full audit depth, so teams relying on that for chargeback accounting need to confirm tier access before committing.