AICentralResources
AI Tool Comparison

Comparing as AI Pair Programming & Terminal Agents
Swimm vs Augment Code

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

Swimm

Swimm

VS
Augment Code

Augment Code

Verdict by Category

Detailed category analysis is not available for this comparison.
View Swimm View Augment Code

Detailed Comparison

Feature
Swimm
Augment Code
Pricing
EnterpriseSwimm does not publish list prices. Engagements are scoped by the size of the codebase, measured in lines of code, and delivered in fixed-price stages rather than per-seat subscriptions. Buyers typically start with an Assessment or a proof of concept to validate the approach on their own code, then move to Specification, Modernization and Enablement stages as scope is agreed. Contact the sales team (info@swimm.io) for a quote. There is no self-serve plan or free tier currently advertised, so earlier per-seat figures seen on third-party sites may be outdated. Confirm current terms with Swimm directly.
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.
Categories
AI Coding AssistantsAI Search Engines
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
Summary
Agentic code understanding and modernization for large legacy codebases
AI coding agent with deep Context Engine for large enterprise codebases
Swimm

Swimm Pros & Cons

Pros

  • Purpose-built for hard legacy and mainframe modernization problems
  • Fixed-price staged delivery makes large projects easier to budget
  • On-prem and air-gapped options suit regulated industries
  • Context layer can feed other AI agents through MCP
  • Strong security certifications for enterprise procurement

Cons

  • No public pricing or self-serve free tier
  • Overkill for small teams that only need internal docs
  • Heavier engagement model than an IDE plugin or wiki
  • Messaging has shifted from documentation to modernization, which may confuse earlier users
Augment Code

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