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Augment Code
AI coding assistance for software teams, built around codebase context so agents can work across a large repository.
Engineering teams that want coding agents indexed on a large existing codebase.
A buyer that only needs a consumer chat coding tool or a no-code automation product.
Verdict
Augment Code is a great fit for software teams that need a coding agent that can work inside a large existing repository. Pricing lands in the mid range for team coding agents and scales with seats and usage. Developers who review its pull requests like the codebase context; it is worth considering when the repo is the product, not a hobby script.
Score Breakdown
How Augment Code scores in the categories that matter to its buyers.
Pricing
Augment Code sells flat monthly plans with pooled usage dollars and no per-seat charge up to 50 seats. LLM usage is billed at provider list price plus a 40% service fee once the included pool is used. Prices below are USD from Augment’s public rate card as of September 2026.
| Plan | Seats | Included usage | Price | What stands out |
|---|---|---|---|---|
| Standard | Up to 50 | $20 / mo | $20 / mo flat | Flat team price; pay-as-you-go top-ups; Cosmos compute |
| Business | Up to 50 | $100 / mo | $100 / mo flat | Larger pooled usage for the same seat cap |
| Enterprise | Unlimited | Custom | Sales quote | SSO, OIDC, SCIM; CMEK; dedicated support |
The Field at a Glance
How Augment Code compares with other Coding agents & developer tools vendors we reviewed, by Overall Score and relative typical engagement cost.
Augment Code scores 7.7 in Coding agents & developer tools, under Sourcegraph (8.3), Cline (8.2), and Factory (7.8), and level with Ellipsis (7.7). Relative cost lands mid-band for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Agents on a large existing codebase | Strong | The context job the company sells. |
| Team-wide coding assistance | Strong | Sold to software teams, not a single chat box. |
| Consumer chat coding | Weak | A different product shape. |
| No-code automation | Weak | This is a developer tool for repositories. |
Review Excerpts
Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.
“I've switched from Cursor to Augment Code + Webstorm. Their chat uses Sonnet 3.7, their auto-apply also works great, very fast and precise, their project context awareness is best in class, beats cursor and any other AI IDE.”
“The contextual awareness is genuinely impressive. It understands project structure and codebase relationships better than most alternatives I’ve tried.”
“Augment has become a valuable part of our code review process. It doesn't replace human review; it enhances it by giving authors a thoughtful first pass before their teammates ever see the code.”
“Augment is solving real world engineering challenges with their contextual awareness of our code base. We are seeing a >40% increase in developer productivity across the board.”
“Augment is the best I've tested for asking questions about your codebase but that's about it. The chat/edit features are junk and it doesn't feel like 3.5 is being used behind the scenes. It's a black box as far as what model you are getting with each prompt.”
“Honestly, while their context engine is good (when it works), it isn't a strong enough feature to justify this new pricing structure.”
Methodology
This page is an independent evaluation of Augment Code for buyers comparing options in coding agents & developer tools. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Augment Code did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for coding agents & developer tools)
- Large-codebase context
- Team coding-agent workflow
- Fit for professional repositories
- Published customer evidence
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Augment Code is graded here as coding agents & developer tools. Criteria scores can move as more review volume and product checks are added.