Augment AI Review 2026: What You Get After the Completions Sunset

Augment Code removed inline completions from all non-Enterprise plans on March 31, 2026, then retired its Indie, Standard, and Max pricing tiers entirely. The cheapest plan is now Business at $100/month for up to 50 seats. For a tool that built its early reputation on fast, context-aware autocomplete, this was a sharp pivot.

The reasoning is straightforward. Code completions are a commodity. Every major IDE extension offers them, often for free. Research from GitHub and Microsoft shows developers complete coding tasks 55% faster with AI autocomplete. That finding made completions table stakes, not a differentiator.

What Augment built that competitors did not is a Context Engine capable of semantically indexing 500,000 files across dozens of repositories. By focusing entirely on agent-driven development and deep codebase understanding, the company is betting that the high end of the market will pay for something fundamentally different from tab completion.

Augment was founded in 2022. Enterprise customers include Adobe, MongoDB, Pure Storage, Snyk, and Webflow. The platform holds SOC 2 Type II and ISO/IEC 42001 certifications, with deployment options that include managed cloud, AWS, GCP, on-premises, and air-gapped environments.

This review covers what Augment Code actually delivers in mid-2026, where it outperforms competitors, and where it does not.

Most AI coding tools send a slice of your current file to an LLM and hope the response fits. Augment's Context Engine creates a full semantic index of your codebase instead, mapping function call relationships, API contracts, architectural patterns, and cross-service dependencies.

The scale is notable. Augment processes up to 500,000 files across 30 or more repositories, ingesting at roughly 50,000 files per minute. Initial indexing runs in under a minute for most projects and updates incrementally on every push when connected to CI/CD hooks. You can also pull in Git repos from GitHub, GitLab, and Bitbucket alongside documentation sites and internal runbooks.

Each query draws on approximately 100,000 lines of related code, surfaced through vector embeddings rather than a raw token window. Where Cursor indexes up to 50,000 files within a single repository and GitHub Copilot works within a 64K-128K token context window, Augment traces connections across service boundaries without requiring manual @file references. A developer changing an API contract in one service gets warnings about downstream consumers in other repos automatically.

This cross-repo awareness also speeds up onboarding. New engineers working on unfamiliar services can ask questions that span the full codebase instead of learning one repo at a time.

The tradeoff is that your code gets uploaded to Augment's cloud for indexing. You control scope using .gitignore and .augmentignore files, and Augment's commercial terms prohibit AI training on customer code. Enterprise customers get customer-managed encryption keys (CMEK), data residency controls, and on-premises deployment.

On SWE-bench Pro, Augment's autonomous agent (Auggie) scored 51.80% while consuming 1.65 billion tokens, compared to 2.35 billion for Claude on identical benchmarks. The code review feature achieves 65% precision with a 59% F1-score, outperforming Cursor's 49% and GitHub Copilot's 25% on the same review benchmarks.

The three most-searched AI coding tools target different developer profiles. The gap between them is wider than their marketing pages suggest.

GitHub Copilot remains the default for individual developers. The free tier covers 50 requests per month, Pro costs $10/month, and GitHub ecosystem integration is unmatched. Copilot solves 56% of SWE-bench tasks, making it a strong all-around performer. Codebase awareness stays shallow compared to Augment, but for single-file and local-context work, it is fast and reliable.

Cursor hits a sweet spot for teams working within a single repository. At $20/month per seat, you get project-wide indexing, parallel agent execution with git worktrees, and access to Claude Opus 4.6 and GPT-5.4. The tradeoff: it requires switching to Cursor's IDE, and context breaks when code spans multiple repos.

Augment Code earns its price on multi-service codebases. The $100/month flat rate for up to 50 seats drives the per-developer cost to $2-7/month depending on team size. No other tool currently matches its cross-repo architectural awareness. You lose inline completions and pay more upfront than either alternative, but the per-seat math favors Augment for teams above 10 developers.

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Augment Code's pricing changed significantly in late 2025 and early 2026. Here is the current structure.

Business: $100/month flat

• Up to 50 seats included with no per-seat charges
• $100 in usage across LLM calls, Context Engine queries, and compute
• Pay-as-you-go top-ups available, valid for 12 months
• Includes Cosmos platform, CLI access, MCP integration, usage analytics, and daemon mode
• SOC 2 Type II certification included
• Community support plus ticket portal

Enterprise: Custom pricing

• Custom user counts and usage limits
• Volume-based annual discounts
• Unlimited concurrent sessions (Business caps at 50)
• Multi-region compute options
• Enterprise SSO, OIDC, SCIM
• Dedicated support with full SLA
• On-premises and air-gapped deployment

The credit model replaced message-based pricing in October 2025. Simple tasks consume roughly 293 credits while complex multi-step agent operations can burn 4,261 or more. At the Business tier, heavy agentic workflows can exhaust the monthly budget before renewal.

There is no free plan. Augment offers a trial with 30,000 credits that requires a credit card. This is a notable gap compared to GitHub Copilot (free tier with 50 requests/month) and Cursor (free tier available).

For team economics, the math favors Augment at scale. A 15-developer team pays $100/month total, roughly $6.67 per developer. Cursor Pro at the same team size would cost $300/month, and Cursor Business $600/month. The catch is that Augment's flat fee covers a fixed usage pool rather than unlimited requests.

No inline completions. The March 2026 sunset removed the feature most developers use dozens of times per day. Augment argues that agentic workflows replace the need for line-by-line suggestions, but many developers disagree. If tab-completion is part of your muscle memory, you will notice the gap immediately.

Intent is macOS only. Augment's multi-agent orchestration platform ships exclusively on macOS with no announced timeline for Windows or Linux. For teams with mixed operating systems, this blocks access to the full feature set.

Credit consumption is unpredictable. The gap between a 293-credit simple task and a 4,261-credit complex operation makes cost forecasting difficult. Teams that rely heavily on agentic workflows can burn through the Business tier budget mid-month.

Limited value for small teams. Augment's strengths surface most clearly on codebases above 100,000 lines with multiple repositories. Solo developers and small projects get less return from the Context Engine, and the $100/month minimum is hard to justify for individual use.

Closed platform. Unlike Aider (fully open source) or Cline (open VS Code extension), Augment is closed-source. You cannot self-host the Context Engine, inspect the model routing, or contribute to the codebase. Teams that value transparency in their AI toolchain should weigh this.

Augment Code is strong at what it targets: deep codebase understanding, multi-repo context, and enterprise compliance. But the completions sunset and pricing restructuring narrowed the audience to mid-size and large engineering teams. That narrowing is a deliberate product decision, not an oversight.

Augment Code works best for a specific engineering profile. Here is how to decide if it fits your team.

Use Augment Code if:

• Your codebase spans 5 or more repositories with shared contracts and service boundaries
• Your team has 10-50 developers who need consistent architectural awareness across the org
• Compliance requirements include SOC 2 Type II, ISO 42001, on-premises deployment, or data residency
• You can work without inline completions or pair Augment with a local completion tool

Skip Augment Code if:

• You work solo or on a small team under 5 developers
• Your project lives in a single repository under 50,000 files
• Tab-completion is a core part of your workflow and you want it built in
• You need agent orchestration on Windows or Linux
• Budget sensitivity rules out the $100/month minimum

Several teams run Augment alongside Cursor or a local completion model (like Qwen2.5-Coder via Ollama) to cover the inline suggestion gap. The tools complement each other rather than competing for the same workflow step.

For teams that store and share code outputs, documentation, or build artifacts across AI-assisted workflows, a persistent workspace layer helps bridge the gap between what agents produce and what the team ships. Fast.io provides shared workspaces where files from any AI tool can be indexed and searched with natural language, then handed off to teammates or clients. Plans include workspace storage, monthly credits, and MCP server access, and every org starts with a 14-day free trial.

The AI coding assistant market is splitting along clear lines. Copilot owns the individual developer. Cursor owns the single-repo team. Augment is betting on the multi-repo enterprise. If your engineering org matches that profile, Augment Code is the strongest option available in mid-2026.