Software Development Copilots
80TriVista score
Qodo
An AI code-quality tool, formerly CodiumAI, that writes tests for existing code and reviews pull requests automatically.
Augment Code
AI tool profile ·
An AI coding assistant built to understand very large, real-world codebases in depth, aimed at established engineering teams.
79TriVista score
Category rank#9 in Software Development Copilots
Baseline ELO1,523.8
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At a glance
What it does
Augment Code is an AI coding assistant built around deep context on large, established codebases rather than small demo projects. It indexes a company's repositories to ground its chat, code completion, and code-change suggestions in the actual patterns and conventions already used in that codebase. It targets professional engineering teams at established companies more than individual developers or early-stage startups. Pricing is enterprise-oriented and quote-based.
Where it can help
This fits a larger engineering organization with a big, mature codebase, where generic AI suggestions often miss existing internal patterns and conventions; it is less suited to small, greenfield projects with little existing code to learn from. Pilot it against a general-purpose competitor on real tickets from your own backlog, since claimed context advantages should be verified on your own code, not just a demo. Request a specific quote and security review from the vendor before committing.
Company fit
Where this tool fits best
The industries and leadership roles this tool is most often matched with.
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Industry Healthcare and life sciences Modeled score79.0 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,523.8
Change from baseline +0.1 ELO
Technology Maturity Low Modeled score79.0 / 100 Modeled category rank#9
Baseline Moderate
Adjusted ELO 1,523.8
Change from baseline +0.1 ELO
Technology Maturity High Modeled score79.0 / 100 Modeled category rank#9
Baseline Moderate
Adjusted ELO 1,523.8
Change from baseline +0.0 ELO
Industry Industrial manufacturing Modeled score79.0 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,523.8
Change from baseline +0.0 ELO
Industry Energy and utilities Modeled score79.0 / 100 Modeled category rank#9
Baseline Consumer products
Adjusted ELO 1,523.8
Change from baseline +0.0 ELO
Revenue Band $100M-$500M Modeled score78.9 / 100 Modeled category rank#7
Baseline $25M-$100M
Adjusted ELO 1,523.7
Change from baseline -0.0 ELO
Revenue Band $500M-$2B Modeled score78.9 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,523.7
Change from baseline -0.0 ELO
Company Type Business services Modeled score79.0 / 100 Modeled category rank#6
Baseline Manufacturing
Adjusted ELO 1,523.7
Change from baseline -0.0 ELO
Industry Retail and distribution Modeled score79.0 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,523.8
Change from baseline +0.0 ELO
Industry Automotive and transportation Modeled score79.0 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,523.7
Change from baseline +0.0 ELO
Industry Financial and professional services Modeled score79.0 / 100 Modeled category rank#9
Baseline Consumer products
Adjusted ELO 1,523.7
Change from baseline -0.0 ELO
Industry Construction and real estate Modeled score79.0 / 100 Modeled category rank#9
Baseline Consumer products
Adjusted ELO 1,523.7
Change from baseline -0.0 ELO
Industry Technology and telecommunications Modeled score79.0 / 100 Modeled category rank#9
Baseline Consumer products
Adjusted ELO 1,523.7
Change from baseline -0.0 ELO
Revenue Band Under $25M Modeled score79.0 / 100 Modeled category rank#6
Baseline $25M-$100M
Adjusted ELO 1,523.7
Change from baseline -0.0 ELO
Industry Food and beverage Modeled score79.0 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,523.7
Change from baseline +0.0 ELO
Revenue Band Over $2B Modeled score79.0 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,523.7
Change from baseline +0.0 ELO
Cost guide
What it can cost
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $10K | $16.2K | $26.7K |
| Three-year total | $18.6K | $29K | $46.4K |
| First-year cost per unit | $499 | $808 | $1.3K |
| Average annual cost per unit (over three years) | $309 | $483 | $774 |
Cost breakdown by scenario
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $450 | $600 | $810 |
| Implementation | $2.4K | $4K | $6.8K |
| Integration | $1.9K | $3.5K | $6.3K |
| Staff time and change management | $1.8K | $2.5K | $3.5K |
| Security | $1.3K | $1.8K | $2.7K |
| Administration | $1.1K | $1.5K | $2K |
| Support | $600 | $800 | $1.1K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 20 enabled developers. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Get started
What you need first
What you need firstSet up the basics
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
How to startSet clear limits
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Before you scaleSet safe working rules
Recommended next action
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Decision ownerBusiness and technology owner
STARTSet a goal and owner
Define what success looks like for a test of Augment Code and assign someone to lead it.
FIRST MONTHTest one workflow
Once the requirements above are met, compare a small trial with how your team works today.
MONTH TWOReview actual use
Track adoption, output quality, business results, and actual costs against the estimate.
MONTH THREEDecide what comes next
Use the results to decide whether to stop, adjust, or expand the pilot.
Risk profile
Required controls
Security and safe use
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Exit and rollback
Export MCP server definitions, tool schemas, and command and auto-approval policies, plus custom rules, prompts, codebase indexes, agent plans, chat history, evaluation results, usage analytics, provider settings, and tool configuration from Augment Code. Accepted code should remain in Git or the system of record, but indexes and agent workflows may not; revoke repository and model tokens and require deletion of indexed proprietary code.
Recommended next step
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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How to learn more about this tool
Where to check the product, price, security, and support.
Official product information
augmentcode.com
Read official information →
Reference source
theaitoolsbox.com/tool/augment-code-review
View source →
Research observations recorded: 1. Evidence quality: Good support.
Score history
How the rating has changed
Recorded score and category rank across research updates.
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TriVista Score 79.0/100Category rank #9
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TriVista Score 79.0/100Category rank #9
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