Which is better for agentic coding, Sourcegraph Cody or Kiro?

Sourcegraph Cody scores higher (89/100 vs 85/100) based on our comprehensive evaluation. Sourcegraph Cody excels in Enterprise Codebases and Code Search, while Kiro is better suited for Agentic Workflows and Spec-Driven Development.

What's the price difference between Sourcegraph Cody and Kiro?

Both Sourcegraph Cody and Kiro offer various pricing tiers. Sourcegraph Cody has detailed pricing on their website. Kiro also provides transparent pricing. Check our comparison table above for the latest pricing details.

Which has better IDE support, Sourcegraph Cody or Kiro?

Sourcegraph Cody supports major IDEs. Kiro supports popular development environments. Both tools integrate well with modern development workflows.

Should I switch from Kiro to Sourcegraph Cody?

Consider switching if you need Enterprise Codebases. Sourcegraph Cody scored 89/100 in our evaluation compared to Kiro's 85/100. However, Kiro may still be better if you prioritize Agentic Workflows.

Sourcegraph Cody vs Kiro

Detailed comparison of features, performance, and use cases

89/100

Sourcegraph Cody

AI coding assistant with deep codebase understanding and powerful code search capabilities.

Enterprise CodebasesCode SearchLarge-scale Projects

Quick Verdict

Sourcegraph Cody excels at enterprise codebases and code search with a score of 89/100. Cody excels at understanding large, complex codebases across multiple repositories.

85/100

Kiro

AWS's spec-driven agentic IDE that transforms natural language into structured requirements, designs, and tasks—enabling autonomous AI agents to work for hours or days with persistent context.

Agentic WorkflowsSpec-Driven DevelopmentEnterprise DevelopmentAWS IntegrationLong-Running Tasks

Quick Verdict

Kiro excels at agentic workflows and spec-driven development with a score of 85/100. Kiro represents AWS's strategic entry into agentic coding, differentiated by its unique spec-driven development approach.

📊 Visual Score Comparison

Side-by-side comparison of key performance metrics across six evaluation criteria

Technical Specifications

Feature	Sourcegraph Cody	Kiro
Core AI Model(s)	Not specified	Claude Sonnet 4.5 as primary model, with Auto mode that combines frontier models with prompt caching to optimize quality, latency, and cost.
Context Window	Not specified	Large context support through Claude Sonnet 4.5. Persistent context across sessions enables multi-day autonomous work without losing project understanding.
Deployment Options	Not specified	Standalone IDE (Code OSS-based) for macOS, Windows, Linux. CLI available for macOS and Linux. No AWS account required—sign in with GitHub, Google, AWS Builder ID, or IAM Identity Center.
Offline Mode	Not specified	Cloud-based, requires internet connection. Core agentic features depend on cloud AI inference.

Core Features Comparison

Sourcegraph Cody Features

Deep codebase context and understanding
AI-powered code search and navigation
Multi-repository code intelligence
Enterprise-grade security and deployment options

Kiro Features

Spec-driven development with auto-generated requirements.md, design.md, and tasks.md
Autonomous agent that works for hours/days with persistent context
Kiro Powers for dynamic context activation (Stripe, Figma, Datadog)
Property-based testing (PBT) to verify code matches specifications
Native MCP (Model Context Protocol) integration
Agent hooks for automated documentation and testing on file events
Multimodal chat supporting images and UI designs
Agent steering files for project-specific customization

Pricing & Value Analysis

Aspect	Sourcegraph Cody	Kiro
Pricing URL	View Sourcegraph Cody Pricing	View Kiro Pricing
Overall Score	89/100	85/100
Best For	Enterprise Codebases, Code Search, Large-scale Projects	Agentic Workflows, Spec-Driven Development, Enterprise Development, AWS Integration, Long-Running Tasks

Best Use Cases

Sourcegraph Cody Excels At

Enterprise codebase navigation and understanding across multiple repositories and microservices
Technical support and troubleshooting by analyzing complex codebases and providing contextual solutions
Code modernization and migration projects with deep understanding of legacy system dependencies

Kiro Excels At

Converting product requirements into structured specs and implementation plans before writing any code—ensuring alignment between stakeholders and developers
Running autonomous agents on complex features overnight, returning to completed implementations with full audit trails of decisions made
Enterprise development where compliance requires traceable specifications that map directly to generated code artifacts

Performance & Integration

Category	Sourcegraph Cody	Kiro	Winner
IDE Support	Multiple IDEs supported	Kiro is a standalone IDE based on Code OSS. Supports VS Code settings import, Open VSX extensions, and existing themes. CLI available for terminal workflows.	Tie
Community	Limited community	Active community	Tie
Data Richness	Basic	Comprehensive	Kiro
Overall Score	89/100	85/100	Sourcegraph Cody

The Bottom Line

Both Sourcegraph Cody and Kiro are capable AI coding tools, but they serve different needs. Sourcegraph Cody scores higher (89/100 vs 85/100) and excels in enterprise codebases and code search. The choice depends on your specific workflow, team size, and technical requirements.

Choose Sourcegraph Cody if: you prioritize enterprise codebases and code search and want the higher-rated option (89/100).

Choose Kiro if: you prioritize agentic workflows and spec-driven development and don't mind a slightly lower score for specialized features.

Try Sourcegraph Cody Try Kiro