GitHub Copilot
AI coding platform with IDE extensions, autonomous agents, and CLI — deeply integrated into GitHub
Cody
AI coding assistant by Sourcegraph
Amazon Q Developer
AI-powered development companion for AWS
/// THE_VERDICT
GitHub Copilot maintains its enterprise lead with the broadest IDE support, most refined inline completions, and an unbeatable GitHub integration story that extends from code review to pull requests. Its agent mode continues to improve, closing the gap with dedicated agentic tools. Amazon Q Developer differentiates with deep AWS service integration and security scanning capabilities, making it the natural choice for teams building on AWS infrastructure. Cody by Sourcegraph brings unique value through its code graph understanding — it indexes your entire codebase for context-aware answers, making it particularly strong for navigating large, unfamiliar codebases.
SCORE BREAKDOWN
DEEP DIVE
GitHub Copilot
AI coding platform with IDE extensions, autonomous agents, and CLI — deeply integrated into GitHub
/// JUDGE_SUMMARIES
"GitHub Copilot has evolved from a code completion extension into a multi-surface AI platform spanning IDE extensions, agent mode, an autonomous coding agent, and a CLI with sub-agents. Its deep GitHub ecosystem integration — PR reviews, issue context, Actions — creates a unified workflow no competitor matches. The $10/month Pro plan remains the best value in AI coding, though dedicated AI editors still lead on multi-file editing."
"GitHub Copilot covers inline completions, chat, and agent workflows, with optional automation that can turn issues into draft pull requests in a GitHub-centric loop. It’s easy to roll out across a team and is strongest when you want suggestions anchored to repository and PR context. The trade-offs are inconsistent performance on large refactors and feature depth that varies by plan tier."
"GitHub Copilot in 2026 has evolved into a comprehensive AI platform. The new 'Pro+' tier (9/mo) unlocks top-tier models like Claude Opus 4.6 and GPT-5, addressing previous complaints about model staleness. With 'Secure MCP integrations' and ubiquitous availability (VS Code, JetBrains, Xcode, Zed), it remains the safe, default choice for enterprises, though it still feels less 'agentic' than Cursor."
/// SYSTEM_DIAGNOSTICS
Developers and teams on GitHub who want a comprehensive AI coding platform spanning IDE, agents, and CLI at an unbeatable price
Cody
AI coding assistant by Sourcegraph
/// JUDGE_SUMMARIES
"Cody's Sourcegraph-powered code graph gives it genuinely superior context retrieval for enterprise-scale codebases and monorepos — a capability that generic AI assistants cannot match. The $9/mo Pro tier is well-priced. However, the individual developer experience lags behind consumer-focused competitors, and multi-file editing capabilities remain a clear weakness."
"Cody focuses on code intelligence for large repositories, using indexed search to retrieve relevant context for questions and edits. The day-to-day experience is geared toward org workflows and big codebases more than lightweight personal projects. It fits best when you can also take advantage of Sourcegraph’s repository indexing and admin features."
"Cody's strength remains its deep integration with Sourcegraph's code intelligence graph, providing superior context for massive enterprise monorepos. However, the strategic pivot away from individual developer plans (discontinuing Free/Pro in July 2025) makes it harder to recommend for anyone outside of an enterprise contract. It excels at search and explanation but trails competitors in autonomous editing."
/// SYSTEM_DIAGNOSTICS
Enterprise teams working with large codebases who need deep code intelligence and already use or are considering Sourcegraph
Amazon Q Developer
AI-powered development companion for AWS
/// JUDGE_SUMMARIES
"Amazon Q Developer excels in its narrow lane: AWS-native development, security scanning, and Java modernization. The code transformation feature for upgrading Java versions and frameworks is a genuine enterprise differentiator. Outside AWS-centric workflows, its general-purpose coding capabilities fall noticeably short of the field."
"Amazon Q Developer is an AWS-focused assistant that helps with application code, infrastructure-as-code, and service integrations inside supported IDEs. It also includes features like code transformations and security scanning aimed at enterprise workflows. Outside AWS-centric projects, suggestions can be less tailored to your stack and model choice is limited."
"Amazon Q Developer has evolved into a capable workspace companion, particularly for those deeply entrenched in the AWS ecosystem. Its agentic capabilities for feature implementation and Java version upgrades are genuinely impressive engineering feats. However, its reliance on Amazon's models leaves it slightly behind the cutting edge for general-purpose polyglot programming compared to tools using the latest Sonnet or o1 models."
/// SYSTEM_DIAGNOSTICS
AWS-focused development teams who need AI assistance deeply integrated with AWS services, security scanning, and infrastructure-as-code
PRICING COMPARISON
| Metric | GitHub Copilot | Cody | Amazon Q Developer |
|---|---|---|---|
| Free Tier | ✓ 2,000 completions and 50 chat messages per month for all users | ✓ Limited completions and chat messages per month | ✓ Limited suggestions and chat in VS Code and JetBrains |
| Pro Price | $10/mo | $9/mo | $19/mo/user |
| Team / Enterprise | $19/mo/seat | $19/mo/seat |
RELATED BATTLES
Methodology & Disclosure ▼
How we rate: Each AI model receives the same structured prompt asking it to evaluate each tool across our criteria on a 1-10 scale. Models rate independently — no model sees another's scores. Consensus score = weighted average. Agreement level = score spread.
Data verification: Pricing and feature data is manually verified against official sources weekly.
Affiliate disclosure: Links to tool signup pages may earn us a commission. This never influences AI ratings.