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JackHamr vs GitHub Copilot
Copilot is the default AI layer in the editor, and since June 2026 its agent work is billed in AI Credits. JackHamr does a different job: it runs a team of agents that take whole features end to end, on machines the platform hosts. Here is an honest look at where each one is stronger.
Updated September 29, 2026. Copilot details from GitHub's published plans and documentation.
At a glance
What it is
JackHamr
An AI agent orchestration platform. Agents run the full delivery pipeline on machines the platform hosts.
GitHub Copilot
An AI pair programmer in your IDE, plus a coding agent you assign GitHub issues to.
Scope of a task
JackHamr
Whole features: spec, plan, approval gates, code, tests, review, and a pull request.
GitHub Copilot
Completions and chat in the editor, agent mode for in-editor tasks, one pull request per assigned issue.
Where the work runs
JackHamr
A persistent cloud machine per agent: up to 16 cores, 64 GB RAM, real filesystem, Docker. Files and running apps survive between tasks.
GitHub Copilot
Your machine for agent mode; the cloud coding agent spins up a fresh environment per task.
Many agents at once
JackHamr
Boards fan tasks out to as many agents or clones as you like, in queue, clone, or distribute mode.
GitHub Copilot
One coding agent per assigned issue; you coordinate the parallel work yourself.
Pricing model
JackHamr
Pay only while agents run: infrastructure at cost with an itemized bill, tokens at provider rates. Free to start, no seats.
GitHub Copilot
Seats from $10 a month, with agent work metered in AI Credits since June 2026.
Process and approvals
JackHamr
Workflows with stages (spec, plan, build, QA, code review, product review) and approval gates that queue decisions for you.
GitHub Copilot
You review the pull request at the end; planning happens inside the agent run.
Models
JackHamr
Any model: ours, your own OpenAI or Anthropic keys, or your Claude Code or Codex subscription as the brain.
GitHub Copilot
A curated set of frontier models, metered through Copilot plans and credits.
GitHub integration
JackHamr
Pull requests and branches out to your repos, with SSH key and token fallbacks.
GitHub Copilot
Native: issues, pull requests, Actions, code review, Codespaces. It is the home team.
Beyond code
JackHamr
Agents for research, marketing, and ops too, with 1,500+ connected apps (Gmail, Notion, HubSpot, Linear) granted per agent.
GitHub Copilot
Focused on code and the GitHub platform.
Where JackHamr is stronger
Copilot makes you faster at the code you write. JackHamr takes the tasks you would rather not write at all, and hands back reviewed pull requests.
- Whole features, not single tasks. A request goes through spec, plan, build, QA, and review as separate agents, and approval gates queue the calls that need you.
- Pricing you can see. Infrastructure at cost on an itemized bill and tokens at provider rates. No credit allowance to burn through, and no seats.
- Machines that stay. Each agent keeps its files, tools, databases, and running apps between tasks. Pause it and compute billing stops.
- Boards for parallel work. Drop ten tasks in Ready and the fleet takes them: queue, clone, or distribute mode per board.
- More than code. Agents for research, sales, and ops, with 1,500+ apps granted one agent at a time.
Where Copilot is stronger
Being fair about this matters, so here is when we would point you to Copilot on its own.
- You want AI where your cursor already is: completions, chat, and agent mode inside VS Code, JetBrains, Visual Studio, or Xcode.
- Your whole workflow lives on GitHub and you want issues, Actions, and code review in one place.
- You want the lowest price of entry. Copilot Pro starts at $10 a month and is hard to beat as a pair programmer.
- You need Microsoft-backed enterprise controls like IP indemnity and org-level credit pooling.
Or use both
These are different layers more than rivals. Keep Copilot in the editor for the last ten percent of every file, and give JackHamr the backlog: whole features, planned and approved by you, then built, tested, and opened as pull requests by the fleet while you keep working.
You can read how agents run the pipeline in The guided build workflow, and how parallel work is dispatched in Boards: a Kanban board your agents run.
Questions people ask
Is JackHamr a GitHub Copilot alternative?
For agent work, yes. Copilot is the best-known autocomplete and chat layer, woven into GitHub. JackHamr is for handing whole features to a fleet of agents on their own machines and reviewing the results. Many teams keep Copilot in the editor and use both.
Why did my Copilot credits run out so fast?
Since June 1, 2026, Copilot agent work consumes metered AI Credits, and agentic workflows are the kind of workload that burns through an allowance quickly. JackHamr bills infrastructure at cost while agents run and tokens at provider rates, itemized, with no credit layer in between.
Can I use JackHamr and Copilot together?
Yes. Keep Copilot for line-level speed in your editor, and route whole features to JackHamr agents, which plan, build, test, and open pull requests on your GitHub repos with approval gates where your judgment matters.
When is Copilot the better choice?
If you want AI inside the editor you already use, your work lives entirely on GitHub, and your agent usage fits your plan, Copilot is simple and cheap. It is not built to run a fleet of agents that finish whole features without you driving.