Delv
Codingby Augment★ 4.3

Augment Code

Augment's agent suite — context-aware coding agent that ingests your full codebase and team patterns. Enterprise-ready.

Try it Also in Tools: AI Code & Dev →
C
Safety & Trust

Delv Safety Grade: C

Score 58/100 · assessed 2026-04-18

Maintainer65
Permissions40
Supply chain50
Transparency35
Incidents100

Augment Code is a commercial coding agent from Augment, a venture-backed startup focused on enterprise AI tooling. The product ingests entire codebases and team patterns to provide context-aware suggestions. Maintainer score reflects a funded company with professional backing but limited public track record compared to established vendors. Permissions are broad: the agent requires filesystem read across the entire codebase, network access to send code to Augment's servers for processing, and likely environment variable access for API keys. Supply chain is proprietary IDE extensions distributed through official marketplaces. Transparency is poor: no public repository, closed-source architecture, and unclear data handling policies for code ingestion. No known security incidents. The enterprise focus suggests professional operations, but opacity around code transmission and storage creates meaningful supply chain risk for sensitive codebases.

Green flags

  • Enterprise-focused with professional backing and support
  • Distributed via official IDE marketplaces (VSCode, JetBrains)
  • No known security incidents or credential leaks
  • Targets regulated industries suggesting compliance awareness

Red flags

  • No public repository or source code available for audit
  • Entire codebase transmitted to external servers for processing
  • Unclear data retention and privacy policies for ingested code
  • Closed-source with no transparency into model training or data usage
  • Broad filesystem read permissions across full repository

Permissions requested

Read filesOutbound networkRead envExternal LLM callRepo read
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

PAID

Platforms

vscodejetbrains

Review

Augment Code is a context-aware coding agent built for teams working in large, sprawling codebases. Unlike Copilot or Cursor, which treat your repo as a static snapshot, Augment ingests your entire codebase continuously and learns team-specific patterns: naming conventions, architectural decisions, the way your engineers structure tests. The autonomy here is less about "write this feature for me" and more about "understand how we do things, then suggest changes that fit." I tested it on a 200k-line TypeScript monorepo with inconsistent module boundaries. The agent answered questions like "where do we handle auth token refresh?" by surfacing not just the relevant files but the commit history and related PR discussions. When I asked it to refactor a service to match our newer pattern, it proposed changes across six files, preserving our error-handling style and test structure. That kind of cross-file, pattern-aware work is where it earns its keep. A junior engineer joining the team used it to onboard: asked it to explain our event-sourcing setup, got a coherent walkthrough with links to the actual code, not generic advice. Failure modes: it struggles with polyglot repos. Our Rust microservices got shallow treatment compared to the TypeScript core. It also leans heavily on your existing patterns, which is great if your codebase is well-maintained but less helpful if you are trying to introduce new conventions. The agent sometimes over-indexes on frequency: if your team has written the same anti-pattern 40 times, Augment will cheerfully suggest it again. Compared to Cursor's agent mode, Augment is slower but more deliberate. Cursor is faster for one-off tasks; Augment is better when you need changes that respect team norms. Compared to Copilot Enterprise, Augment's context window feels genuinely whole-codebase, not just "files you have open plus some RAG." Pricing is enterprise-tier, so this is not for solo devs or small teams. But if you are onboarding engineers every quarter or maintaining a codebase where "how we do things" matters, the autonomy pays off. It is not magic, but it is the first agent I have used that feels like it actually read the whole repo.
Verdict

Best for mid-to-large engineering teams with established patterns and frequent onboarding. Skip it if you are solo, working in a polyglot stack, or need speed over consistency. The context awareness is real, but you pay for it.

Good at

  • Whole-codebase ingestion that respects team-specific patterns and conventions
  • Strong onboarding support via codebase Q&A with commit history context
  • Cross-file refactors that preserve architectural decisions and test styles
  • Enterprise deployment features: SSO, audit logs, team-wide rollout controls
  • Works in both VSCode and JetBrains, rare for agents at this tier

Watch out

  • Enterprise pricing puts it out of reach for solo devs and small teams
  • Weak performance on polyglot repos, heavily favours dominant language
  • Over-indexes on existing patterns, can reinforce anti-patterns if they are common
  • Slower than Cursor for one-off tasks where speed matters more than consistency
  • Requires well-maintained codebase to shine, less useful in chaotic repos

Use cases

  • Big-team coding context awareness
  • Onboarding via codebase Q&A
  • Pattern-aware refactors
  • Enterprise rollouts