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AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
Kiro vs Augment Code

Kiro

Kiro

VS
Augment Code

Augment Code

Verdict by Category

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

Detailed Comparison

Feature
Kiro
Augment Code
Pricing
FreemiumKiro uses a credit-based Freemium model with five tiers and no daily or weekly rate limits. Credits are consumed fractionally per request \u2014 simple edits use fewer credits than complex spec-driven builds. Free tier includes limited credits with a restricted model selection (no Free tier in AWS GovCloud). Pro is $19/user/month, Pro+ is $39/user/month, Pro Max is $79/user/month, and Power is $199/user/month \u2014 each offering progressively more credits and model access. All paid plans include a $20 credit on first upgrade via social login or Builder ID (not IAM Identity Center). Add-on credits cost $0.04 each, available in packs from $5 (125 credits) to $100, rolling over for 12 months from purchase date. Enterprise pricing is custom via AWS sales and includes IAM Identity Center SSO, AWS PrivateLink VPC endpoints, admin governance controls, usage dashboards, cost management, IP indemnity, compliance features, and overage controls managed by admins. All active paid Kiro subscriptions also provide access to Amazon Q Developer IDE plugins during the transition window through April 30, 2027.
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 Productivity ToolsAI Developer APIs & PlatformsAI No-Code / Automation Tools
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
Summary
Spec-driven agentic IDE by AWS — build what you mean, not just what you say
AI coding agent with deep Context Engine for large enterprise codebases
Kiro

Kiro Pros & Cons

Pros

  • Only AWS-native agentic IDE — built and operated by AWS with the same security, reliability, and compliance standards trusted by millions of customers
  • Spec-driven development solves vibe coding's core problem: generating code that actually matches your intent, verified by property-based tests
  • Parallel agents work concurrently across the codebase — dramatically faster than single-agent coding tools for complex multi-file tasks
  • Broadest frontier model roster of any AWS developer tool — Claude Opus 5, Sonnet 5, GPT-5.6 (Sol/Terra/Luna), DeepSeek, and Auto routing
  • Unified agent harness across IDE, CLI, web, and mobile — one .kiro/ config works everywhere
  • Hooks enable fully automated SDLC workflows — documentation, tests, and standards enforcement on every file save or commit without interrupting flow

Cons

  • New product — released July 2025, less battle-tested than Cursor, Windsurf, or VS Code for large complex production codebases
  • Credit-based pricing model can be unpredictable — complex spec-driven builds consume credits faster than vibe coding
  • Spec-driven workflow has a learning curve; developers accustomed to chat-based copilots need to adapt to structured specs
  • Built on Code OSS, not full VS Code — some proprietary VS Code Marketplace extensions may not be available via Open VSX
  • Kiro Enterprise pricing is custom and sales-gated — no transparent list price for large team deployments
  • AWS GovCloud requires paid subscription with IAM Identity Center — no free tier in that environment
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