Agentcode vs Amazon Q Developer
Agentcode vs Amazon Q Developer: host-neutral PRs
Amazon Q Developer is the AI agent for teams already living inside AWS. Agentcode does the same PR-native job without asking your stack to be AWS-shaped.
No card to start · Review-first: the agent never merges
In short
Amazon Q Developer is AWS's AI coding assistant and agent, spanning the IDE, CLI, and GitHub, and it can turn a GitHub issue into a pull request. It is strongest on AWS-centric work, security scanning, and Java version transformation, and its GitLab support requires GitLab Duo with Amazon Q on a self-managed Ultimate tier. Agentcode is host-neutral: it opens reviewable pull requests on both GitHub and GitLab regardless of where they are hosted, runs your existing tests, and bills as a flat subscription with no per-line metering. Choose Q Developer if your team is already committed to AWS; choose Agentcode if you want a predictable bill and a PR agent that does not assume your stack.
Where Amazon Q Developer shines
Amazon Q Developer is deeply wired into AWS, and its security scanning and legacy Java transformation are genuinely strong. If your team is already on AWS with an IAM and Identity Center footprint, Q inherits that identity model and lands in the console you already use.
Where Agentcode is different
Q Developer is AWS-native by design, and that is both its strength and its boundary. Its agent takes a GitHub issue and opens a pull request, but the GitLab path runs through GitLab Duo with Amazon Q, which requires a self-managed GitLab Ultimate tier. Code transformations are metered per line above the included allowance, so a big migration month costs more than a quiet one. Agentcode is host-neutral and stack-neutral: connect a GitHub or GitLab repo on any hosting, describe a task, and the agent plans it, edits the code, runs your existing test suite, and opens a reviewable pull request. Billing is a flat subscription with no per-line meter, so the number your finance team approves is the number they pay. Agentcode never merges on its own and never trains on your code.
| How they compare | Agentcode | Amazon Q Developer |
|---|---|---|
| Git hosts for the PR agent | GitHub and GitLab, on any hosting | GitHub-first; GitLab needs Duo with Amazon Q on self-managed Ultimate |
| Ecosystem assumption | Stack-neutral; no cloud vendor required | Built around AWS identity and services |
| Billing model | Flat subscription, no usage meter | Free tier plus Pro per user, with transformations metered per line over the allowance |
| Standout strength | Task to reviewable PR with your test suite run first | Security scanning and legacy Java transformation |
| Control | You review and merge; it never merges on its own | You review the PR the agent opens |
Agentcode vs Amazon Q Developer: your questions answered
What is the difference between Amazon Q Developer and Agentcode?
Both can turn a task into a pull request, so the category is the same. The difference is gravity. Q Developer is built around AWS: it inherits AWS identity, shines on AWS-centric and Java transformation work, and reaches GitLab only through a self-managed GitLab Ultimate tier. Agentcode assumes nothing about your stack and opens reviewable PRs on GitHub or GitLab directly.
Does Amazon Q Developer open pull requests?
Yes. Q Developer's agent can pick up a GitHub issue and open a pull request with the change. The practical limits are reach and billing: the smooth path is GitHub, GitLab requires GitLab Duo with Amazon Q on self-managed Ultimate, and code transformations are metered per line above the included allowance.
Can I use Amazon Q Developer with GitLab?
Only through GitLab Duo with Amazon Q, which requires a self-managed GitLab Ultimate subscription. That is a real procurement step, not a checkbox. Agentcode connects to GitLab directly, whether it is gitlab.com or self-hosted, and opens the same reviewable pull request it would open on GitHub.
Do I need an AWS account to use Agentcode?
No. Agentcode has no AWS dependency. You connect a GitHub or GitLab repository and the agent works against that repo and your existing CI, whichever cloud it runs on. Teams on Azure, GCP, bare metal, or a mix use it the same way, which is the main reason they compare it against Q Developer in the first place.
Is Amazon Q Developer free?
It had a free tier with 50 agentic requests a month and 1,000 lines of Java transformation, plus a Pro tier at $19 per user a month, but both are closed to new customers: AWS blocked new signups and new subscriptions on May 15, 2026. The IDE plugins and paid Pro subscriptions reach end of support on April 30, 2027, and AWS points new users to Kiro, which is credit-metered from $20 a month. Agentcode is a flat subscription with no usage meter.
Is Amazon Q Developer being discontinued?
The IDE plugins and paid Pro subscriptions are: they reach end of support on April 30, 2027, and the Java and .NET code transformation features retire with them. New signups stopped on May 15, 2026. Amazon Q Developer in the AWS Management Console, the Slack and Teams integrations, and the separate Amazon Q Business product are not affected. AWS recommends Kiro as the replacement.
Last updated: August 2026
Further reading
Amazon Q Developer is on its way out, so this comparison is really about where to migrate. Amazon Q Developer versus Kiro covers the end-of-support dates and why the replacement bills very differently from the flat seat you had. If the modernization features were the draw, AI code migration covers what that work actually needs. When you are ready to try the alternative, see how Agentcode works on an existing repo.
See it run
Describe the work. Get a pull request.
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.
More comparisons
Looking for a Amazon Q Developer alternative? See how the PR-native approach compares. For every current plan and what the bill really comes to, read the full Amazon Q Developer pricing breakdown, or see how Amazon Q Developer and every rival bill, flat versus metered, on the AI coding tool pricing comparison. Still weighing the whole category? Our guide to the best AI for coding puts nine tools side by side on price, git host support, and whether the agent opens the pull request itself.