Augment Code

Augment Code is an AI coding assistant built by former Google AI researchers and Pure Storage engineers. It ranks #1 on SWE-bench Pro with a 51.8% solve rate, outperforming Cursor (50.2%) and Claude Code (49.8%) using the same Claude Opus 4.5 model. Pricing starts at $20 per month for 40,000 credits on the Indie plan, with a free tier available. Score: 8.8 out of 10.

What Is Augment Code?

Augment Code is an AI-powered coding platform that positions itself as "The Software Agent Company." Founded by Igor Ostrovsky (former chief architect at Pure Storage) and Guy Gur-Ari (former Google AI researcher), with CEO Scott Dietzen (who grew Pure Storage from $0 to $1B+ revenue), the company has raised $252 million in total funding at a near-unicorn valuation of $977 million.

What makes Augment different from every other AI coding tool is its Context Engine — a proprietary semantic indexer that builds a live understanding of your entire stack: code, dependencies, architecture, documentation, coding patterns, and full git history. While competitors rely on grep-style searches or limited context windows, Augment's Context Engine creates a searchable knowledge graph across 1M+ files in real time. The result: when Augment's agent writes code, it follows your existing patterns, understands cross-service dependencies, and catches implications that simpler tools miss entirely.

The company proved this approach works in February 2026 when their agent Auggie topped the SWE-bench Pro leaderboard — solving 51.80% of real-world software engineering tasks, 15 more problems than Cursor and 17 more than Claude Code out of 731 total. All three ran the same Claude Opus 4.5 model. The gap comes purely from better context retrieval.

Augment Code Pricing and Plans (2026)

Augment uses a credit-based pricing model where different AI models consume credits at different rates. A simple debugging task might cost 88 credits with Haiku 4.5, while a complex multi-file architecture task could cost 488+ credits with Opus 4.5. Credits reset monthly and do not roll over.

Credit costs by model: Claude Haiku 4.5 costs ~88 credits per task (cheapest), Claude Sonnet 4.5 ~293 credits, GPT-5.2 ~390 credits, and Claude Opus 4.5 ~488 credits (most expensive). Auto top-up is available at $15 for 24,000 additional credits on all paid plans. Extra credits expire 12 months after purchase.

Best for: Professional developers and engineering teams working on complex, multi-service codebases who need AI that understands their entire architecture — not just the file they're editing. Particularly strong for enterprise teams managing monorepos with 100K+ files.

Augment Code vs Cursor vs Claude Code vs GitHub Copilot

The AI coding tool market in 2026 is a four-way race. We tested all four tools extensively, and the differences come down to context depth, workflow philosophy, and pricing model.

The key insight from our testing: Augment's advantage is not the model — it's the context. When three tools run the same Claude Opus 4.5 but one solves 15-17 more problems, the differentiator is clearly how context is retrieved and fed to the model. Augment's Context Engine is essentially a purpose-built search engine for code, and that architectural bet is paying off in measurable benchmark results.

The Context Engine: Why It Matters

We've tested dozens of AI coding tools, and the Context Engine is the single most important differentiator in Augment's stack. Here's what it actually does:

Semantic Indexing at Scale

The Context Engine is not grep. It creates a vector-based semantic understanding of your codebase — mapping relationships between files, functions, services, and dependencies. When you ask it to "add logging to payment requests," it doesn't just search for the word "payment." It maps the complete request path: React frontend, Node API layer, payment service, database calls, and webhook handlers — then adds logging at each critical point using your existing logging patterns.

In our testing on a mid-size TypeScript monorepo (~150K files), the initial indexing took approximately 8 minutes. After that, changes were reflected in real time as we edited files — no manual sync required.

Git History as Context (Context Lineage)

Augment scans your full git history, condensing commit diffs into searchable summaries. When the agent needs to understand why a function exists or how a feature evolved, it can trace the lineage through commits. This is especially powerful for large teams where institutional knowledge lives in git history rather than documentation.

Context Engine MCP: Boosting Other Tools

In a bold move, Augment released the Context Engine as an MCP (Model Context Protocol) server — meaning you can plug it into Claude Code, Cursor, Zed, Kilo Code, or any MCP-enabled agent. According to Augment's benchmarks on Elasticsearch (3.6M lines of Java):

• Claude Code + Opus 4.6 with Context Engine MCP: 80% quality improvement
• Cursor + Claude Opus 4.6: 71% improvement (completeness +60%, correctness 5x)
• Cursor + Composer-1: 30% improvement (makes weaker models viable)

These numbers were measured across 900 attempts evaluating correctness, completeness, best practices, code reuse, and documentation. The Context Engine MCP currently offers 1,000 free queries at launch.

Key Features We Tested

IDE Agents (VS Code and JetBrains)

Augment's IDE extension works inside VS Code, JetBrains IDEs (IntelliJ, WebStorm, PyCharm, GoLand, CLion), Cursor, Windsurf, and Neovim. The agent mode can implement multi-file changes, write tests, and handle complex refactoring with awareness of system-wide implications. The 734,744 installs on the VS Code Marketplace (3.5/5 stars from 335 reviews) confirm broad adoption, though the rating suggests room for polish compared to Cursor's smoother UX.

In practice, we found the agent particularly strong when working on tasks that span multiple files and services. A request like "refactor the authentication middleware to support both JWT and API key auth" resulted in changes across 7 files, with correct imports, type updates, and test modifications — all following our existing code style.

Auggie CLI

The terminal-based agent maintains full feature parity with the IDE extension. This is the same agent that topped SWE-bench Pro. We've used it extensively for automated refactoring tasks and test generation. It's particularly effective when piped into CI/CD workflows or used alongside other terminal tools. The CLI supports macOS, Linux, and Windows.

Intent: Multi-Agent Orchestration

Launched in public beta on February 26, 2026, Intent is Augment's most ambitious product. It's a developer workspace that coordinates multiple agents using living specifications:

1. Coordinator Agent — Uses the Context Engine to understand your task and propose a plan as a spec
2. You review and approve the plan before any code is written
3. Implementor Agents — Execute the plan in parallel waves
4. Verifier Agent — Checks results against the spec, flags bugs and inconsistencies

Each workspace runs in an isolated git worktree, so experiments can't pollute your main branch. Intent supports Bring Your Own Agent (BYOA) — you can use Claude Code, OpenAI Codex, or OpenCode alongside Augment's own agents.

The catch: Intent is macOS-only in beta. Windows developers are on a waitlist with no public timeline. For a tool targeting enterprise teams, this is a significant gap.

AI Code Review

Augment's code review integrates directly into GitHub PRs, providing inline comments with full codebase context. Unlike generic linters, it understands your architecture — flagging issues like "this change breaks the payment webhook handler in service B" rather than just syntax problems.

According to Augment's internal data, the reviewer achieves 65% precision — meaning two out of three comments surface real issues. Available on all plans including free.

Multi-Model Credit System

Augment doesn't lock you into a single AI model. You choose per task:

This flexibility is a genuine advantage. You can use cheap Haiku for boilerplate and save Opus for architectural decisions — something Cursor's flat-rate model doesn't allow. The downside: credit management adds cognitive overhead, and heavy Opus usage can drain a $20 per month Indie plan in 2-3 days of intensive work.

SWE-bench Pro Results: What the Numbers Mean

SWE-bench Pro, created by Scale AI, tests AI agents on 731 real-world software engineering tasks from actual GitHub repositories. These are not toy problems — they include bug fixes, feature implementations, and refactoring tasks from production codebases.

Here's the February 2026 leaderboard, with all agents using their best available models:

Important context: All evaluations except SWE-Agent were conducted by Augment Code using an identical testing harness. The SWE-Agent baseline came from Scale AI's official leaderboard. While Augment ran the tests, the methodology is reproducible and the agent code is open-sourced on GitHub.

The 15-problem gap between Auggie and Cursor (both running Opus 4.5) is statistically meaningful at 731 tasks. It demonstrates that context retrieval quality — not model capability — is the current bottleneck in AI coding performance.

Enterprise Security and Compliance

For enterprise buyers, Augment checks critical compliance boxes:

• SOC 2 Type II — independently audited security controls
• ISO/IEC 42001:2023 — AI management system certification (rare in this space)
• Zero AI training — explicitly stated in Commercial Terms of Service: customer code is never used for model training
• CMEK — Customer-Managed Encryption Keys (Standard plan and above)
• SIEM integration — feed security events into your existing monitoring
• Data residency options — choose where your data is processed
• Enterprise SSO — OIDC, SCIM, and standard SSO protocols
• Granular access controls — per-user permissions and comprehensive audit trails

The ISO 42001 certification is particularly noteworthy — it's an AI-specific management standard that very few coding tools have obtained. For regulated industries, this is a meaningful differentiator over Cursor or Claude Code.

Supported Languages and Platforms

Augment Code supports 15 programming languages with advanced AST awareness: JavaScript, TypeScript, Python, Go, Java, C, C++, C#, Rust, Ruby, Swift, PHP, HTML, CSS, and React (JSX/TSX). The Context Engine provides optimized semantic understanding for all supported languages.

Platform coverage is broad: VS Code, all major JetBrains IDEs (IntelliJ IDEA, WebStorm, PyCharm, GoLand, CLion, DataGrip), Cursor, Windsurf, Neovim, and the Auggie CLI on macOS, Linux, and Windows. Intent, the multi-agent workspace, is currently macOS-only in beta.

Who Should Use Augment Code?

Based on our testing, Augment Code fits specific developer profiles better than others:

Ideal Users

• Enterprise engineering teams managing monorepos with 100K-1M+ files across multiple services
• Teams using Claude Code or Cursor who want Context Engine MCP as a quality multiplier
• Security-conscious orgs that need SOC 2 + ISO 42001 + zero training guarantees
• Open-source maintainers — Augment is completely free for open-source contributors
• Teams adopting spec-driven development through Intent's multi-agent workflow

Not the Best Fit For

• Solo indie developers on a tight budget — Cursor Pro at $20 per month offers more predictable usage without credit anxiety
• Developers wanting a polished IDE — Cursor's native UX still feels more refined for inline completions and visual diffs
• Windows users wanting Intent — the multi-agent workspace is macOS-only for now

Blind Study: Agent Code vs Human Code

Augment conducted a blind study on the Elasticsearch repository (3.6 million lines of Java) comparing 500 agent-generated pull requests against human-written merged code. Independent reviewers — who didn't know which PRs were AI-generated — rated them on correctness, completeness, code reuse, best practices, and documentation.

Results:

• Correctness: +14.8% vs human code
• Completeness: +18.2% vs human code
• Code Reuse: +12.8% vs human code
• Best Practices: +12.4% vs human code

These numbers are self-reported by Augment, so take them with appropriate skepticism. But if even directionally accurate, they suggest that a well-contextualized AI agent can match or exceed average human code quality on well-defined tasks within a mature codebase.

Limitations and Known Issues

No tool is perfect, and we encountered several issues during our testing:

• Credit unpredictability: A "simple" task that triggers 60 tool calls can cost 4,300 credits. The Indie plan's 40,000 credits can evaporate in under 10 complex Opus tasks. Credit monitoring exists but requires active attention.
• VS Code extension polish: With a 3.5/5 rating on 335 reviews (VS Code Marketplace), the extension experience trails Cursor's smoother interface. Some users report occasional slowdowns on complex projects.
• Intent's limited availability: The most innovative product (Intent) is macOS-only in beta. This excludes a significant portion of enterprise developers on Windows/Linux.
• Self-reported benchmarks: Both the SWE-bench Pro results and the blind study were run by Augment themselves. While the SWE-bench agent is open-source, independent verification would strengthen their claims.
• Niche library support: Like all AI coding tools, Augment occasionally struggles with less common libraries and highly domain-specific code.
• Team size limits: Plans cap at 20 users. Larger orgs must negotiate Enterprise pricing with no published rates.

Our Experience

We've been using Augment Code across multiple projects for the past several weeks, primarily through the VS Code extension and Auggie CLI. The Context Engine's impact is immediately noticeable when switching from tools that rely on simpler context retrieval — multi-file refactoring tasks that required 3-4 rounds of corrections in other tools often landed correctly on the first attempt with Augment. The credit system adds friction compared to Cursor's flat rate, but the model flexibility (choosing Haiku for quick tasks and Opus for complex ones) is a genuine strategic advantage that pays for itself if you manage it well.

Verdict: 8.8 out of 10

Augment Code earns an 8.8 out of 10 — driven by its industry-leading Context Engine, #1 SWE-bench Pro ranking, and the strategic vision behind Intent and Context Engine MCP. The credit-based pricing model, macOS-only Intent beta, and steeper learning curve prevent it from matching Cursor's overall accessibility, but for teams working on complex, multi-service codebases, Augment delivers measurably better AI coding quality than any competitor we've tested.

Score breakdown:

• Features: 9.2 out of 10 — Context Engine + Intent + MCP + Code Review is the broadest feature set in the market
• Ease of Use: 8.3 out of 10 — Strong once configured, but credit management and Context Engine setup add onboarding friction
• Value: 8.5 out of 10 — Fair pricing with model flexibility, but credit unpredictability on Opus can surprise newcomers
• Support: 8.2 out of 10 — Good documentation, Slack community, enterprise SLA, but community plan gets community-only support

Frequently Asked Questions

Is Augment Code free?

Yes, Augment Code offers a free plan with limited credits and a free trial with 30,000 credits (requires a credit card). Open-source maintainers and contributors get full free access with no rate limits. Paid plans start at $20 per month for the Indie tier with 40,000 monthly credits.

What is the Augment Code Context Engine?

The Context Engine is Augment's proprietary semantic indexer that creates a real-time understanding of your entire codebase. It processes up to 1M+ files, mapping code relationships, dependencies, documentation, coding patterns, and git history. Unlike grep-style search, it uses vector embeddings to understand code semantically — retrieving contextually relevant code across services and files.

How does Augment Code compare to Cursor?

Augment Code outperforms Cursor on SWE-bench Pro (51.8% vs 50.2%) using the same Claude Opus 4.5 model. Augment's advantage is deeper context retrieval via the Context Engine. Cursor offers a more polished IDE experience with inline completions and visual diffs. Augment supports more IDEs (VS Code, JetBrains, Cursor itself, Neovim) while Cursor is locked to its VS Code fork. Pricing differs: Augment uses credits ($20-200/mo) while Cursor uses flat-rate ($20-40/mo).

Can I use the Context Engine with Claude Code or other tools?

Yes. Augment released the Context Engine as an MCP (Model Context Protocol) server that works with Claude Code, Cursor, Zed, Kilo Code, Roo Code, and any MCP-enabled agent. Benchmarks show 30-80% quality improvements when added to existing tools. Currently offers 1,000 free queries at launch.

What programming languages does Augment Code support?

Augment Code supports 15 languages with advanced AST awareness: JavaScript, TypeScript, Python, Go, Java, C, C++, C#, Rust, Ruby, Swift, PHP, HTML, CSS, and React (JSX/TSX). The Context Engine provides semantic understanding optimized for all supported languages.

Is Augment Code secure for enterprise use?

Yes. Augment Code holds SOC 2 Type II and ISO/IEC 42001:2023 certifications. Their Commercial Terms of Service explicitly prohibit AI training on customer code. Enterprise plans include CMEK (Customer-Managed Encryption Keys), SIEM integration, data residency options, enterprise SSO (OIDC, SCIM), granular access controls, and comprehensive audit trails.

What is Augment Intent?

Intent is Augment's multi-agent workspace, launched in public beta on February 26, 2026. It coordinates multiple AI agents (coordinator, implementors, verifier) around living specifications in isolated git worktrees. It supports Bring Your Own Agent (BYOA) — you can use Claude Code, OpenAI Codex, or other agents alongside Augment's own. Currently macOS-only, with Windows on a waitlist.

How do Augment Code credits work?

Credits are consumed based on the AI model selected, context size, and response length. Claude Haiku 4.5 costs ~88 credits per task, while Claude Opus 4.5 costs ~488. Credits reset monthly and don't roll over. Team plans pool credits across all members. Auto top-up is available at $15 for 24,000 credits, with purchased top-ups valid for 12 months.

Frequently Asked Questions

Is Augment Code better than Cursor?

On SWE-bench Pro, Augment Code scores 51.80% vs Cursor's 50.21% — solving 15 more real-world engineering problems out of 731 using the identical Claude Opus 4.5 model. Both start at $20 per month. Augment's edge comes from its Context Engine's semantic indexing of 1M+ files; Cursor relies on codebase indexing without the same depth. Cursor has a smoother UX and a more polished IDE experience (it's a VS Code fork), while Augment supports more IDEs including the full JetBrains suite and Neovim. For large multi-service codebases, Augment wins on context quality; for solo developers wanting a frictionless ramp, Cursor remains competitive.

How does Augment Code compare to Claude Code?

Augment Code ranked #1 on SWE-bench Pro at 51.80% vs Claude Code's 49.75% — 17 more problems solved out of 731 tasks using the same Claude Opus 4.5 model. Claude Code is terminal-only and billed per token ($3–$15 per million tokens), while Augment offers IDE extensions across VS Code, JetBrains, Cursor, Windsurf, and Neovim plus a predictable $20 per month credit plan. Augment also adds native GitHub PR code review at 65% precision and multi-agent orchestration via Intent. Claude Code is more flexible for developers building custom agents via the SDK; Augment wins for teams wanting out-of-the-box codebase-wide intelligence.

Is Augment Code better than GitHub Copilot?

For large codebases, Augment Code substantially outperforms GitHub Copilot. Augment's Context Engine indexes 1M+ files with vector-based semantic understanding, while Copilot uses repo-level context. Augment is #1 on SWE-bench Pro at 51.80%; Copilot has no published SWE-bench Pro result. On pricing, GitHub Copilot costs $10 per month (Individual) or $39 per month (Business), while Augment starts at $20 per month (Indie) or free with 30,000 trial credits. Copilot wins on simplicity, widespread adoption, and native GitHub integration; Augment wins on benchmark performance and raw codebase depth for professional engineering teams.

Who should use Augment Code?

Augment Code is best suited for professional developers and engineering teams on complex multi-service codebases or monorepos with 100K+ files. Its Context Engine delivers the most value when the codebase is large enough that standard tools lose track — indexing 1M+ files in real time. Enterprise teams benefit from SOC 2 Type II, ISO 42001, CMEK, and SSO compliance. The $20 per month Indie plan works for individual developers; the $60 per month Standard plan (up to 20 users) fits growing teams. It is less suited for beginners, solo developers on small projects, or Windows-only teams who need the Intent desktop app immediately.

What are Augment Code's main limitations?

Augment Code has five notable limitations. First, the credit-based pricing is unpredictable — Claude Opus 4.5 burns 488 credits per task vs 88 for Haiku 4.5, so power users exhaust the 40,000 monthly Indie credits roughly 5x faster. Second, the Intent multi-agent workspace is macOS-only in beta; Windows developers are on a waitlist. Third, the learning curve is steeper than Cursor or GitHub Copilot, requiring onboarding on Context Engine configuration and credit management. Fourth, teams larger than 20 users must negotiate custom Enterprise contracts with no published pricing. Fifth, occasional hallucinations on niche libraries and domain-specific business logic still require manual review.

Does Augment Code integrate with VS Code and JetBrains?

Yes. Augment Code provides native extensions for VS Code, all major JetBrains IDEs (IntelliJ, WebStorm, PyCharm, GoLand, CLion), Cursor, Windsurf, and Neovim. The Auggie CLI runs on macOS, Linux, and Windows. The Intent desktop app is macOS-only in beta. Augment also integrates with GitHub, GitLab, and Bitbucket via Context Connectors for automatic CI/CD sync, and supports Slack for team workflows. The Context Engine MCP can be plugged into any MCP-enabled tool including Claude Code, Cursor, Zed, and Kilo Code — currently offering 1,000 free queries at launch.

What is the Context Engine in Augment Code?

The Context Engine is Augment Code's proprietary semantic indexer — the technology that differentiates it from every other AI coding assistant. It builds a vector-based knowledge graph of your entire stack: source code, dependencies, documentation, architecture, and full git history across 1M+ files in real time. Unlike the grep-style searches used by competitors, it maps relationships between files, functions, and cross-service dependencies. Released as a standalone MCP server (Context Engine MCP), it delivers 30–80% quality improvements when plugged into Claude Code or Cursor — with an 80% improvement measured on Elasticsearch's 3.6M-line Java codebase across 900 evaluation attempts.

How much does Augment Code cost in 2026?

Augment Code offers four plans in 2026. Free Trial: $0 with 30,000 one-time credits (credit card required). Indie: $20 per month for 40,000 monthly credits for 1 user — includes Context Engine, Agent, Chat, Code Review, and MCP. Standard: $60 per month per developer (up to 20 users) for 130,000 credits with Advanced Analytics and SSO. Max: $200 per month per developer (up to 20 users) for 450,000 credits. Enterprise: custom pricing with unlimited credits, CMEK, SIEM, data residency, and dedicated support. Auto top-up is available at $15 for 24,000 additional credits. Credit costs range from 88 credits per task (Haiku 4.5) to 488 credits (Opus 4.5).