Home / Directory / AI SaaS tooling / Coding agents & developer tools / Augment Code
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
Hire Augment Code when the agent has to work inside a large existing repository, not autocomplete a single file for an individual hobby project. The product is sold to software teams around codebase context.
A Series B of $227 million announced April 24, 2024 put the post-money valuation at $977 million, after a $25 million Series A.
Score Breakdown
How Augment Code scores on the jobs buyers hire it for, and on the company and commercial side of the deal.
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 sources. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“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.”
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 sit 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.