AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
Greptile vs Augment Code

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Greptile

Freemium

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Augment Code

Paid

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Verdict by Category

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Feature & Spec Matrix

Detailed Comparison17 Criteria

Complete side-by-side breakdown of specifications, capabilities, and feature parity

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Feature / Spec

Greptile

Augment Code

Pricing Model

Difference

FreemiumGreptile uses a credit-based pricing model. The Starter plan is free for 1 active developer with unlimited repositories and 50 credits/month (50 standard reviews or ~16 TREX reviews). No credit card required. The Pro plan is $30/seat/month and includes 50 credits per seat, with additional credits available at $1 each. Credits are consumed as follows: 1 credit = 1 standard PR review, 3 credits = 1 TREX runtime review (sandbox test execution). Pro adds team collaboration, admin controls, and access to all Greptile features. Enterprise pricing is custom and adds SSO, audit logs, self-hosted deployment in your own AWS environment, BYOK (bring your own LLM providers), priority support, and dedicated SLAs. Greptile also offers free usage for qualified open-source projects and significant discounts for pre-Series A startups. A Greptile API is available at discounted bulk pricing for teams building on top of Greptile's codebase intelligence.

PaidAugment Code uses a usage-based pricing model with two tiers. The Business plan costs $100/month flat for up to 50 seats. This includes $100 of pooled monthly usage across LLM inference (billed at provider list price + 40% service fee), Context Engine API calls, and Cosmos compute. Usage is shared across the whole team. Top-ups are available pay-as-you-go at any time; top-ups expire 12 months after purchase. The Enterprise plan has custom pricing for teams over 50 seats. It adds custom usage limits and top-up rates, volume-based annual discounts, SSO/OIDC/SCIM, Customer Managed Encryption Keys (CMEK), ISO/IEC 42001 compliance, SIEM integration, data residency options, granular audit trails, multi-region compute, unlimited concurrent sessions, and a dedicated customer success manager with priority support. All paid plans include a guarantee of no AI training on customer data. A 7-day free trial is available. Previously Augment charged $60/active user/month under a named-seat model before switching to flat/usage-based pricing in October 2025.

Starting Price

Difference

Free (1 dev, 50 credits/mo) — Pro $30/seat/mo

$100/mo flat (up to 50 seats) — Enterprise custom

Free Plan & Trial Scope

Difference

Starter is free for 1 active developer with unlimited repositories and 50 credits/month (50 standard reviews). No credit card required.

No free plan. Business plan starts at $100/month flat (up to 50 seats, $100 usage included). 7-day free trial available.

User Rating Score

Unrated

Ideal Workflow / Use Case

Difference

Engineering teams that want AI code review grounded in complete codebase context to catch cross-file bugs, enforce standards, and integrate with AI coding agents

Enterprise engineering teams with large, complex multi-repository codebases needing deep semantic AI coding assistance, automated code review, and agentic workflows

Enterprise & Scalability

Difference

SOC 2 Type II, self-hosted in AWS, BYOK (bring your own LLMs), SSO, audit logs, dedicated support SLAs, API access for building on top of Greptile, Zapier integration

SOC 2 Type II, ISO/IEC 42001 (first AI coding assistant certified), CMEK, SSO/OIDC/SCIM, SIEM integration, data residency options, granular audit trails, multi-region compute, BYOA (bring your own agent), no AI training on customer data

Core Categories

AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms

Swarm agent PR review — parallel agents build a complete codebase graph (files, functions, dependencies) and review every PR with full cross-file context in ~3 minutes

Supported

TREX runtime validation — agent that writes and executes tests for every PR in a sandboxed environment to catch bugs and missed edge cases (Beta, 3 credits/review)

Supported

Fix with Agent integration — one-click sends every review comment with file paths, line numbers, and suggested code to Claude Code, Codex, Cursor, Conductor, or Devin

Supported

/greploop automation — lets any coding agent iterate with Greptile in a loop until all issues are resolved, enabling fully automated review-fix cycles

Supported

Custom rules and Learning — write coding standards in plain English and Greptile enforces them on every PR; also learns from team PR comments to understand your conventions

Difference

Greptile Advantage

Not listed

Greptile MCP — connect Greptile to any AI agent to share codebase context and comment context via Model Context Protocol

Difference

Greptile Advantage

Not listed

Independence features — self-hosted deployment in your own AWS environment with BYOK LLM support for maximum data sovereignty

Supported

GitHub, GitLab, and self-hosted VCS support with SOC 2 Type II compliance, SSO, and audit logs for enterprise deployments

Supported

Slack integration — @Augment bot answers codebase questions in Slack threads, unblocking developers without consuming dev cycles

Difference

Not listed

Augment Code Advantage

Usage-based team pricing — $100/month flat for up to 50 seats with pooled usage, no named seats, no wasted spend on inactive developers

Difference

Not listed

Augment Code Advantage

Greptile Pros & Cons

Pros

Deepest codebase context of any code review tool — builds a full graph of files, functions, and dependencies, not just the diff
'Fix with Agent' button uniquely integrates with Claude Code, Codex, Cursor, Conductor, and Devin for automated review-fix loops
TREX runtime validation (Beta) writes and executes real tests in a sandbox — the only code review tool that actually runs the code
Free Starter plan for 1 developer with 50 reviews/month and unlimited repos — genuinely usable with no credit card required
Self-hosted and BYOK options for full data sovereignty in air-gapped and regulated environments
Trusted by Brex (CTO: 'outperforms them all by a mile'), NVIDIA, Retool, Substack, Scale, PostHog, Mintlify, Zapier, and 22,000+ teams

Cons

Credit-based pricing can be unpredictable — TREX runtime reviews cost 3 credits vs 1 for standard reviews, so heavy users of the most valuable feature pay 3x more
Pro at $30/seat/month is more expensive than CodeRabbit Pro ($24/user/month) for standard PR review without TREX
Founded 2023 by recent graduates — smaller team than competitors like CodeRabbit ($143M raised) despite raising a $30M Series A at $180M valuation
Series A reported in talks as of July 2025 but not confirmed closed — some uncertainty around funding timeline
Early culture of very long working hours was publicly noted by founder (9am–11pm, 6–7 days/week) — may affect team sustainability

Augment Code Pros & Cons

Pros

Deepest codebase context of any AI coding tool — Context Engine indexes 400K+ files with semantic graphs, not just open tabs
#1 on SWE-bench Pro at 51.80% (Auggie CLI) — top publicly benchmarked coding agent score at publication
First and only AI coding assistant with ISO/IEC 42001 certification alongside SOC 2 Type II and CMEK
Usage-based flat pricing ($100/mo for up to 50 seats) is more predictable than per-seat models for variable teams
Cosmos platform covers the full SDLC — from ticket to PR, code review, tests, incidents, migrations, and onboarding
Trusted by Adobe, MongoDB, Webflow, Snyk, Pure Storage, Crypto.com, Tekion, and DXC across enterprise codebases

Cons

No free individual tier — Business plan starts at $100/month with a team minimum; sole developers pay full price for low usage
Pricing changed three times in 18 months (2023–2025), causing some developer community backlash and unpredictability concerns
IDE support limited to VS Code and JetBrains — no standalone IDE, no Neovim full feature parity, no Visual Studio
Closed-source with no self-hosting option — all computation runs on Augment's infrastructure or Enterprise cloud tenants
Context Engine first-run indexing takes 15–30 minutes on large repos before initial suggestions become fully accurate
Enterprise plan requires sales contact for pricing — no public list price above the Business tier