Augment Code
The agentic SDLC platform for loops
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Quick Answer
Augment Code runs its Cosmos platform as a set of agent loops that carry the repetitive middle of the SDLC: code review, ticket-to-PR, incident response and vulnerability remediation, with engineers holding the quality gates. A Context Engine gives those agents an understanding of large production codebases, and native triggers wire in GitHub, GitLab, Slack, Linear and Jira. Agents execute in managed cloud sandboxes or on your own machines. Pricing is flat per team rather than per seat: $20 a month Standard or $100 a month Business, each up to 50 seats, plus usage.
Augment Code is an AI-native coding platform for enterprise software engineering teams, offering coding agents, deep codebase context, and automations. Its Cosmos platform runs loops for code review, incident management, and ticket-to-PR workflows as a software factory. Augment Code routes turns across models such as Claude and Gemini, supports MCP and native tools, and is SOC 2 Type II, with no AI training allowed.
Augment Code builds a software factory loop by loop: agents carry the repetitive middle of the SDLC while engineers hold the quality gates, and loops hand outcomes to each other, from triage to authoring to review. Its Context Engine gives agents understanding of production-scale codebases.
Decision Intelligence
Best For
AIType
Starting Price
$20/mo
Billing Cycle
Monthly
Free Trial
No
Credit Card
Not Required
Free Plan
No
Dimension Scores
· 5.6 avgHow good it is, across universal quality axes
Task Scores
· 6.6 avgWhat it can do, per category it works in · showing 9 of 10 tasks scoring 5+
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
- -Standard and Business plans each cover up to 50 seats
Complexity
Company Size
Team Size
Skill Level
Deployment
The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Underlying Model Benchmarks
Third-party leaderboard scores for the AI model(s) powering this — including price & speed. These describe the underlying model, not the product's own metrics.
Scores from official leaderboards or vendor-reported. Percentile is cross-benchmark normalized when populated by an aggregator. See methodology.
Pricing verified from the vendor pricing page.
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Who It's For4 rolesSoftware DevelopersComputer ProgrammersWeb Developers+1 more
Platform, Content & Languages2 content types1 languagesCodeTextEnglish+6 more
Output Languages
Content Types
Accepts
Produces
Frequently Asked Questions
What can Augment Code do?
Augment Code can: Agentic SDLC loops for continuous automation, Context Engine for semantic codebase understanding, Code review automation with first-pass reviews, Ticket-to-PR automation for end-to-end task completion. Best for: Enterprise engineering teams automating repetitive SDLC tasks at scale.
How much does Augment Code cost?
Augment Code is a paid tool starting from $20/month.
Is Augment Code free?
No, Augment Code is a paid tool. Check the official pricing page for current plans.
What makes Augment Code unique?
Augment Code builds a software factory loop by loop: agents carry the repetitive middle of the SDLC while engineers hold the quality gates, and loops hand outcomes to each other, from triage to authoring to review. Its Context Engine gives agents understanding of production-scale codebases.
Does Augment Code have an API?
Yes, Augment Code offers a public API for developers to integrate its capabilities into custom applications and workflows.
What platforms does Augment Code support?
Augment Code is available on web, CLI, API, and Slack.
What languages does Augment Code support?
Augment Code supports English.
Who is Augment Code for?
Augment Code is designed for Enterprise engineering teams automating repetitive SDLC tasks at scale; Development teams seeking to accelerate code review and merge times; Security teams automating vulnerability remediation and incident response.
Trust Score
Excellent
Based on 18 data signals
Confidence: High
Reflects publicly available data, not an independent audit
Not yet checked
Some details are AI-generated estimates — verify with the vendor.
AI-generated estimate: Best For
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.