Comparison
Augment Code Alternative - An Async Agent That Opens the PR at a Flat Price
Agentcode is an Augment Code alternative for teams that would rather delegate the whole task than drive a fast assistant inside the editor. You describe a ticket and Agentcode plans it, writes the code across your repo, runs your tests, and opens a reviewable pull request, all on a flat monthly price.
No card to start · Review-first: the agent never merges
In short
Augment Code is an in-editor AI assistant known for a context engine that retrieves the right files from very large codebases; it runs inside VS Code and JetBrains IDEs and, since its 2026 restructure, is billed as a $100-a-month Business plan with metered pooled usage. Agentcode is an autonomous coding agent that works asynchronously: you give it a task, it writes the change across your repo, runs your tests, and opens a reviewable pull request on GitHub or GitLab at a flat monthly price with no meter. The practical distinction is that Augment is fastest when you drive it live through a big codebase, while Agentcode takes the whole task off your plate and hands back a finished, tested PR. Both keep a human on the merge; Agentcode never merges on its own and never trains on your code.
Where Augment Code shines
Augment Code is built around a context engine that indexes very large codebases and retrieves the right files for a prompt, which is its real advantage: on a big monorepo with hundreds of thousands of files, its answers and edits stay grounded in your actual code rather than guessing. It runs where you already work, inside VS Code and the JetBrains IDEs, with a CLI and a remote agent as well, and it is quick and interactive when you want to stay in the loop line by line. If your work is exploratory editing in a large, unfamiliar codebase and you value fast in-editor retrieval, Augment is genuinely strong at that job.
Where Agentcode is different
The difference is the shape of the work and the shape of the bill. Augment is an in-editor assistant you drive: it is fastest when you are steering it through a large codebase in real time. Agentcode is asynchronous. You hand it a task, close the tab, and it plans the change, edits every file involved, runs your test suite, self-reviews its own diff, and opens the pull request itself on GitHub or GitLab. The second difference is pricing. Augment prices in flat team plans, $20 a month on Standard or $100 on Business, each covering up to 50 seats with pooled monthly usage that agent runs draw down faster than chat, and top-ups when it runs out. Agentcode is a flat $29 a month billed yearly with no usage pool or token meter, so a busy week costs the same as a quiet one. Both keep a human on the merge, and Agentcode never merges on its own and never trains on your code.
| How they compare | Agentcode | Augment Code |
|---|---|---|
| Primary job | Take a whole task and return a reviewable pull request with passing tests. | Assist you inside the editor with fast, context-grounded edits and chat. |
| How you work with it | Asynchronous: hand off the task and review the PR later. | Interactive: you drive it line by line in your IDE. |
| Who opens the PR | The agent writes the change and opens the pull request itself. | You commit and open the PR; the remote agent can draft changes you push. |
| Repo and host support | GitHub and GitLab. | Works in your local repo through the IDE; GitHub-centric for its remote agent. |
| Pricing model | Flat monthly price, no usage pool or token meter. | From $100 / mo Business; pooled monthly usage metered at provider rates plus a 40% fee, with paid top-ups. |
| Best at | Delegating bounded tasks and getting a tested PR back. | Fast retrieval and editing across a very large codebase. |
Prefer a head-to-head? See Agentcode vs Augment Code, or read what an AI coding agent is, or compare what AI coding assistants actually cost.
Augment Code pricing vs Agentcode pricing
Augment restructured its pricing in 2026: it retired every individual plan and consolidated onto a single Business plan, so the entry point is now $100 a month rather than the old $20 Indie tier. Usage is metered on top of the subscription (LLM inference at provider rates plus a flat 40% fee, drawn from a pooled monthly balance), so the number that matters is how fast your team burns the pool, since agent runs consume more than chat. Agentcode is a flat subscription with no pool, so what you weigh is predictability against the depth of in-editor retrieval. Figures below are as Augment published them and as we checked them in July 2026; verify the current numbers before you buy.
| Plan | Price (USD) | What you get |
|---|---|---|
| Augment Business | $100 / mo | Flat, up to 50 seats, with $100 of pooled monthly usage across LLM, Context Engine and compute; LLM billed at provider rates plus a 40% fee, top-ups pay-as-you-go. |
| Augment Enterprise | Custom | Unlimited users, bespoke usage limits, custom and multi-region compute, SSO/SCIM, CMEK and ISO 42001, dedicated support. |
| Agentcode Starter | $29 / mo billed yearly | One connected repo, task to pull request, GitHub and GitLab, flat price, review-first. |
Augment Code pricing as published by the vendor and checked in July 2026. Check their site for the current figure before you buy. For every plan, the seat math and the questions buyers ask, see the full Augment Code pricing breakdown. See how Augment Code and every other tool bill, flat versus metered, on the AI coding tool pricing comparison.
Augment Code alternatives: your questions answered
What is the best Augment Code alternative?
It depends on how you want to work. If you want a fast in-editor assistant with strong retrieval across a large codebase, the closest alternatives are other IDE assistants like Cursor or GitHub Copilot. If the goal is to delegate a whole task and get back a finished pull request without driving the editor, an async agent like Agentcode is the alternative: it writes the change, runs your tests, and opens the PR at a flat price.
Is Augment Code usage-based?
Yes. Each Augment plan includes a pool of monthly usage that activities draw down at different rates, and agent runs consume more than chat. LLM inference is billed at the provider's rates plus a flat 40% service fee, with no fee on compute, and when a team exhausts the pool it buys top-ups. That makes a busy month hard to forecast. Agentcode takes the opposite approach: a flat $29 a month billed yearly with no usage pool or token meter, so using it more costs nothing extra.
Does Augment Code open pull requests for you?
Augment is primarily an in-editor assistant, and its remote agent can draft changes, but the everyday workflow is you driving it in your IDE and committing the result yourself. Agentcode is built the other way around: you hand it a task and it opens the pull request itself on GitHub or GitLab, with your tests already run, so your job is to review and merge rather than to steer the edits.
Augment Code vs Agentcode: which should I choose?
Choose Augment when your work is interactive editing across a large codebase and you value fast, context-grounded retrieval inside your IDE. Choose Agentcode when you want to delegate bounded tasks and get back a tested pull request on a flat, predictable price with no meter. They are not mutually exclusive: some teams keep an in-editor assistant for live work and add an async agent for the tickets they would rather hand off entirely.
How much does Augment Code cost?
As of September 2026 Augment Code costs $20 a month on Standard or $100 a month on Business, both flat, both covering up to 50 seats, with $20 and $100 of pooled monthly usage respectively, plus custom Enterprise above that. The two plans are identical on Augment's own compare grid, so the extra $80 buys usage rather than features. The old individual plans (the $20 Indie, $50 Developer and $60 to $200 Team tiers) were retired in 2026 and there is still no free tier. Usage is metered on top, so the effective cost depends on how hard you run it. See our full Augment Code pricing breakdown for the details.
Last updated: August 2026
Further reading
Augment sells context depth on big codebases, and it is priced accordingly. Is Augment Code worth it works through whether that context earns the price, and running an agent across multiple repos covers the same problem from the team side. For the budget conversation, how to budget for AI coding tools covers what to plan for when rivals bill on a meter.
See the difference
A reviewable pull request, every time
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.
Compare Agentcode with other AI coding tools
Weighing up the cost of each? Read what AI coding assistants actually cost, or see the enterprise AI coding assistant requirements. If you are still comparing the whole field, the guide to the best AI for coding covers nine tools with verified pricing and an honest note on who each one is wrong for.
Try Agentcode on your repo
No new IDE. Connect a repo and review the first PR.