Augment Code
AI PR Review · #2 of 20 in category · #2 of 27 overall
Code review agent in the Cosmos platform: risk-triaged inline PR comments with full-codebase context; GitHub-native, others via CLI.
[ Where it fits ]
On the documented evidence, Augment Code suits teams that want findings validated before they land on the PR.
[ Documented strengths ]
- Multi-dimensional Context. Context Engine reads the full codebase; cross-repo context via external repos declared in AGENTS.md.
- Rule-Centric & Default Quiet. YAML review guidelines with globs and severities; docs commit to high signal-to-noise and no style nags.
- Continuous Learning. Code Review Memory captures reviewer feedback and distills per-repo knowledge shared across agents.
- Sandbox Validation. Cosmos Verifier agent exercises changes in a running environment and reports evidence-backed findings.
[ Documented gaps ]
No standard is documented as unavailable — but 0 are not documented either way.
[ Facts ]
- Category
- AI PR Review
- Open source
- No — proprietary
- Pricing
- Business $100/mo flat (up to 50 seats) incl. $100/mo pooled usage, plus flat 40% fee on LLM usage; Enterprise custom. Code review on all plans source ↗
- Self-hosted
- No — No self-hosted offering documented; Enterprise cites custom compute and multi-region deployment in Augment's cloud.
- Platforms
- GitHub GitLab Bitbucket AD Azure DevOps
- Model control
- Choose from a vendor model list (Claude, GPT-5.x, Gemini families); no BYOK
- Last verified
- 2026-08-11
[ Against the 9 standards ]
Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? undocumented. Undocumented scores zero — see the methodology.
Context Engine reads the full codebase; cross-repo context via external repos declared in AGENTS.md.
YAML review guidelines with globs and severities; docs commit to high signal-to-noise and no style nags.
GitHub PR reviews plus Auggie CLI/CI automation; no distinct local pre-commit review mode documented.
Jira Cloud and Linear integrations plus MCP tools; ticket-vs-code validation not explicitly documented.
Code Review Memory captures reviewer feedback and distills per-repo knowledge shared across agents.
Cosmos Verifier agent exercises changes in a running environment and reports evidence-backed findings.
No BYOK; model choice from a vendor list; discloses a flat 40% fee on LLM usage with a credit dashboard.
'Fix in Augment' hands findings to an agent session in IDE/CLI; no one-click commit from the PR.
Dashboard: PRs reviewed, % comments addressed, thumbs-up rate, estimated dev hours saved; no DORA metrics.
[ Augment Code vs the alternatives ]
[ Closest alternatives ]
[ In our coverage ]
AI code review statistics for 2026: adoption, trust, review turnaround, AI code volume, and bug-catch benchmarks — every stat linked to a primary source.
AI Code Review vs Static Analysis: 2026 GuideAI code review vs static analysis compared: determinism vs reasoning, false positives, SAST coverage, cost, and why mature teams run both.
What Is AI Code Review? How It Works (2026)AI code review explained: how LLM reviewers work, what they catch and miss, how they differ from linters and static analysis, plus sourced adoption data.
[ FAQ ]
Is Augment Code open source?
No. Augment Code is proprietary — you can use it, but you cannot read or fork the review engine.
Can Augment Code be self-hosted?
No. No self-hosted offering documented; Enterprise cites custom compute and multi-region deployment in Augment's cloud. Verified against the vendor's own documentation on 2026-08-11.
How much does Augment Code cost?
Business $100/mo flat (up to 50 seats) incl. $100/mo pooled usage, plus flat 40% fee on LLM usage; Enterprise custom. Code review on all plans. Seat price is only part of the bill: Augment Code handles models as choose from a vendor model list (claude, gpt-5.x, gemini families); no byok, which is what usually decides the real monthly cost.
How does Augment Code score against the 9-pillar AI code review standard?
6.5 out of 9. It fully documents 4 standards, partially documents 5, does not offer 0, and leaves 0 undocumented. The score is coverage of documented capability, not a measure of review quality.
What are the alternatives to Augment Code?
The closest tools in this directory are Baz, CodeAnt AI, Entelligence AI, Kodus. Each is scored against the same 9 standards, so the matrices are directly comparable.
Evaluating Augment Code?
Run it through the two-week trial protocol before you commit a team to it.