Kiro vs Windsurf (Devin Desktop): Which AI IDE Should You Use in 2026?

Kiro and Windsurf — now officially Devin Desktop after Cognition's June 2026 rebrand — represent two sharply different visions for AI-powered development. Kiro, built by AWS, insists that AI should think before it codes, generating structured specs and task plans before touching your files. Windsurf, reborn as Devin Desktop under Cognition AI, puts agent orchestration front and center, turning the IDE into a command center for managing multiple AI agents working in parallel.

Both tools cost $20 per month on their Pro plans. Both are VS Code-compatible forks powered by frontier AI models. But the way they approach your work could not be more different. If you are choosing between them in 2026, this comparison will help you make the right call based on how you actually build software.

We tested both tools on real development workflows — building REST APIs, scaffolding full-stack applications, refactoring component libraries, and writing test suites — to evaluate their strengths where it counts.

TL;DR

Choose Kiro if you value structured planning, spec-driven development, and deep AWS integration. Choose Windsurf (Devin Desktop) if you want a multi-agent command center with broad model support and the flexibility to plug in third-party AI agents. Both are excellent tools — the right pick depends on whether you prefer planning-first or agent-first development.

Overview

Kiro launched in mid-2025 as the first spec-driven AI IDE. Built by AWS on Amazon Bedrock, Kiro transforms rough prompts into structured requirements documents, architectural designs, and sequenced task lists before generating any code. It is available as a desktop IDE (based on Code OSS), a CLI tool, and a web interface, with context that transfers seamlessly across all three. Kiro supports Claude Opus 4.7, Claude Sonnet 4.5/4.6, and Claude Haiku 4.5, with an Auto mode that mixes frontier models and prompt caching for optimal performance. It handles Python, JavaScript, TypeScript, Java, Go, Rust, C#, PHP, Ruby, Kotlin, and more.

Windsurf was originally built by Codeium as an AI-native code editor and quickly gained traction for its fast agentic workflows and strong multi-file editing. In December 2025, Cognition AI — the company behind Devin, the autonomous AI software engineer — acquired Windsurf for approximately $250 million. On June 2, 2026, Cognition rebranded Windsurf to Devin Desktop, shipping the change as an over-the-air update. The rebrand replaced Cascade (the original local agent) with Devin Local, a ground-up rewrite in Rust, and introduced the Agent Command Center as the default interface. Plans, pricing, extensions, and keybindings all carried over unchanged. Devin Desktop supports Claude Sonnet 4.6, GPT-5.4, and SWE-1.5 (Windsurf's proprietary fast agent model).

Features Comparison

Spec-Driven Development vs Agent-First Workflows

This is the core philosophical difference.

Kiro's spec workflow intercepts the space between your prompt and generated code. When you describe a feature — say, "add Stripe billing with usage-based pricing" — Kiro does not start writing code immediately. Instead, it generates a requirements.md document listing functional requirements, edge cases, and acceptance criteria. Then it produces a design.md with architectural decisions and data models. Finally, it creates a tasks.md with sequenced implementation steps. You review and approve each layer before any code is written.

This approach shines on complex features where architectural mistakes are expensive to fix later. The spec acts as a contract between you and the AI, ensuring alignment before implementation begins.

Devin Desktop takes the opposite approach. The Agent Command Center — a Kanban-style dashboard — is the first thing you see when you open the editor. It displays every agent you are running, local and cloud, sorted by status: in progress, blocked, or ready for review. You launch agents, monitor their work, and review results from a single unified interface. The focus is on delegation and parallelism, not upfront planning.

Both approaches work. Kiro reduces rework on complex projects. Devin Desktop maximizes throughput when you trust the agents to handle execution.

Agent Architecture

Kiro uses agent hooks — automated triggers that fire on specific file events. You can configure an agent hook to auto-generate unit tests when a source file is saved, update API documentation when a route handler changes, enforce naming conventions on file creation, or block modifications to protected files. Agent hooks run automatically in the background, enforcing project standards without manual intervention. Kiro also supports parallel agent execution coordinated by its spec-generated task lists, ensuring agents work on complementary tasks without conflicts.

Devin Desktop introduced Devin Local to replace the original Cascade agent. This is not an evolution — Cognition describes it as a complete rewrite. Key improvements include a move from Python to Rust for the runtime, approximately 30 percent improvement in token efficiency, and support for subagents that handle parallel task execution. Devin Local works alongside cloud-based Devin agents, and the Agent Command Center manages both in one place.

A standout feature of Devin Desktop is ACP (Agent Client Protocol) support. Created by Zed Industries in August 2025, ACP is an open protocol that standardizes how AI agents communicate with editors — think of it as LSP for AI coding agents. This means any ACP-compatible agent, including OpenAI Codex, Claude Agent, or OpenCode, can run inside Devin Desktop as if it were a native agent. No other IDE offers this level of agent interoperability.

Model Support

Kiro runs on Amazon Bedrock and offers:

• Claude Opus 4.5, 4.6, 4.7
• Claude Sonnet 4.5, 4.6
• Claude Haiku 4.5
• Auto mode (mixes frontier models with prompt caching)
• Open-weight models on the Free tier

Credit multipliers vary by model — Opus costs roughly 2.2x per interaction while Haiku costs 0.4x, letting you balance quality against budget.

Devin Desktop provides:

• Claude Sonnet 4.6
• GPT-5.4
• SWE-1.5 (proprietary fast agent model)
• Tab autocomplete powered by legacy Codeium models (unlimited, all plans)

Kiro offers a broader model selection, especially if you prefer working with Claude Opus for complex reasoning tasks. Devin Desktop counters with SWE-1.5, a purpose-built coding model that excels at fast agent tasks, and broader provider diversity with both Anthropic and OpenAI models.

Context and Codebase Understanding

Kiro's context is enriched by its spec layer. Because the IDE maintains structured requirements and design documents alongside your code, it understands not just what your code does but why it was written that way. During refactoring, Kiro can reference original requirements to ensure changes preserve intended behavior. Kiro also supports persistent cross-session context, enabling what the team describes as "multi-day autonomous work without losing project understanding."

Devin Desktop introduced Spaces, a new context layer that groups related sessions, pull requests, files, and objects together. Spaces give multi-agent workflows a shared context, so different agents working on the same feature can access the same background information. Combined with Devin Local's improved token efficiency (approximately 30 percent better than Cascade), Devin Desktop handles large codebases effectively.

Neither tool offers visual codebase mapping in the way that Cursor does with its code graph features. Both rely on semantic search and embeddings, with Kiro's spec layer and Devin Desktop's Spaces providing their respective contextual advantages.

Multi-Platform Access

Kiro is available across three interfaces:

• IDE — Desktop application for local development (macOS, Windows, Linux)
• CLI — Terminal-based workflows for developers who prefer the command line (macOS, Linux)
• Web — Browser-based access with cloud automations and autonomous mode

Context transfers seamlessly across all three platforms. You can start a spec on the web, switch to the CLI for implementation, and review in the IDE, with all context intact.

Devin Desktop is a desktop application for macOS, Windows, and Linux. It connects to cloud-based Devin agents but does not offer a standalone CLI or web interface for the IDE itself. However, its ACP support means you can run Devin agents from other compatible editors if needed.

Collaboration and Enterprise Features

Kiro integrates with GitHub and GitLab for coordinating changes across repositories. Enterprise plans include SAML/SCIM SSO via AWS IAM Identity Center, centralized billing, usage analytics, and organizational management dashboards. GovCloud support is available with a paid subscription, though pricing runs approximately 20 percent higher than standard regions.

Devin Desktop's Team plan ($40/user/month) includes centralized billing, an admin dashboard, analytics, and priority support. Enterprise plans offer SSO, RBAC, hybrid deployment options, and volume discounts. The ACP protocol also enables standardized agent management across teams using different tools.

Pricing Comparison

Both tools charge $20 per month for their primary paid plans, but the billing models differ significantly.

Kiro uses a credit system. Every prompt you execute — whether in vibe mode or spec mode — consumes credits. The number of credits per interaction varies by model (Opus costs more, Haiku costs less). Unused credits do not roll over. Overage is available at $0.04 per credit, billed at month-end. New subscribers receive a $20 credit toward their first subscription.

Devin Desktop uses a quota system. Since March 2026, Windsurf/Devin Desktop replaced its credit-based billing with daily and weekly quotas that refresh automatically. Tab autocomplete is unlimited on every plan and never touches your quota. This model is more predictable day-to-day but less flexible — you cannot save up unused quota for a heavy coding day.

For students, Devin Desktop offers approximately 50 percent savings (around $10/month) through verified .edu email addresses. Kiro does not currently have a student discount.

Who Should Choose Kiro?

Kiro is the right choice if you:

• Build complex features where architectural mistakes are expensive to fix — the spec workflow catches design issues before you write code
• Work on AWS infrastructure and want native integration with Lambda, CDK, CloudFormation, and other AWS services
• Value documentation and want your AI to maintain requirements, design docs, and task lists alongside your code
• Need multi-platform access and want to move between desktop IDE, CLI, and web with seamless context transfer
• Manage compliance-heavy projects where GovCloud support and enterprise authentication through IAM Identity Center are requirements

Who Should Choose Windsurf (Devin Desktop)?

Devin Desktop is the right choice if you:

• Manage multiple concurrent tasks and want a Kanban-style agent dashboard to orchestrate parallel work
• Use or plan to use third-party AI agents and want ACP support for plug-and-play agent interoperability
• Need broad model diversity across providers, including both Anthropic and OpenAI models plus proprietary SWE-1.5
• Prefer predictable daily quotas over credit-based billing, with unlimited tab autocomplete included
• Are a student looking for an affordable AI IDE with a verified .edu discount

Verdict

Kiro and Devin Desktop are both excellent AI IDEs that happen to cost the same on their Pro plans. The decision comes down to workflow philosophy.

Kiro wins on structure. Its spec-driven development workflow is unmatched in the AI IDE market. If you have been burned by AI-generated code that solved the wrong problem, Kiro's requirements-first approach will feel like a relief. The agent hooks system for automated testing, documentation, and convention enforcement adds a layer of quality that compounds over time. AWS teams will also appreciate the native cloud integration.

Devin Desktop wins on orchestration. The Agent Command Center, Devin Local, and ACP support create the most flexible agent management environment available in any IDE. If you want to run multiple agents in parallel — mixing first-party and third-party agents from a single dashboard — Devin Desktop is the only tool that makes this seamless. The Windsurf-to-Devin-Desktop transition is still fresh (June 2026), but Cognition's $250 million investment signals serious long-term commitment.

For most developers choosing between these two tools today, the question is simple: Do you want your AI to plan first (Kiro) or execute first (Devin Desktop)? Neither answer is wrong. Both tools will make you more productive than coding without AI assistance. Pick the one that matches how you think about building software.

Pricing and features were verified as of June 20, 2026. Both tools are actively developing new features, so check their official pricing pages for the latest information.