Decision finder result — AI Coding Assistants • Personalized recommendation

Start with AWS-aligned assistants (then compare ergonomics)

If your environment is AWS-first, evaluate AWS-aligned assistants for governance/tooling fit—but still compare daily ergonomics against IDE-native baselines.

How this works: Based on common constraint patterns, we match you to the operating model and products that typically fit. Verify against your specific requirements.

Recommendation: Amazon Q, GitHub Copilot

See all AI Coding Assistants products

Start with AWS-aligned assistants

Recommended starting points

Based on your constraints, these products typically fit best. Read each decision brief to confirm pricing behavior and limits match your reality.

Recommended

Amazon Q

AWS-aligned assistant for developers and builders, often evaluated by AWS-first organizations that want tooling integration and governance alignment within the AWS ecosystem.

Read decision brief → Compare options →

Recommended

GitHub Copilot

IDE-integrated coding assistant for autocomplete and chat, commonly chosen as the default baseline for teams standardizing AI assistance with predictable per-seat rollout.

Read decision brief → Compare options →

Why this recommendation

If your environment is AWS-first, evaluate AWS-aligned assistants for governance/tooling fit—but still compare daily ergonomics against IDE-native baselines.

Different constraints? Try these paths

Start with a governable baseline copilot

GitHub Copilot

Start with agent-first workflows (review as diffs)

Cursor

Start with platform-coupled prototyping

Replit Agent

Start with high-signal completion (then add agents later)

Supermaven, Tabnine

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