The 11 best AI coding agents in 2026, by workflow
Published September 29, 2026
Summary
Compare eleven AI coding agents for repository work: local coding, editor sessions, and delegated cloud tasks. Choose by workflow, runtime, and review controls.
Choose by workflow
Which AI coding agents should you shortlist?
- For delegated engineering work, compare Replicas and Devin. Add Cursor Cloud Agents if you already use Cursor, or Copilot cloud agent if GitHub is your task and review surface.
- For direct coding sessions, compare Claude Code and Codex on your repository. Both also offer hosted cloud tasks.
- For interactive editor work, evaluate Cursor and Cascade. For an open-source agent, evaluate OpenCode and Cline.
- For a Droid-based development workflow with configurable models, evaluate Factory.
- For a personal AI assistant spanning engineering tasks and daily workflow management, evaluate Vellum.
Methodology
How we selected and compared these agents
Replicas publishes this guide and is one of the products included. These are workflow recommendations based on linked product documentation, checked September 9, 2026. Vellum’s entry uses contributor-provided copy. The order is not a benchmark ranking, and we have not run a controlled performance comparison across all eleven products.
An AI coding agent can inspect a repository, edit files, run commands, and return work for review. A model supplies reasoning; an agent adds tools and an execution loop. A hosted product adds the environment and workflow around that agent. Compare the complete product you will use.
- Execution: local machine, editor workspace, or a hosted task environment.
- Control: repository permissions, tool approvals, and the ability to inspect and steer work.
- Fit: how tasks arrive, how results are reviewed, and who maintains the environment.
- Cost: platform fees, runtime, and model usage for the intended workload.
Eleven options
The best AI coding agents by workflow
Each product name links to its website or documentation. Use the table to make a shortlist, then test the relevant interface with your own codebase.
| Agent or product | What it is | Where work runs | Consider it for |
|---|---|---|---|
| Replicas | Cloud coding agent platform | One isolated Linux VM per task; dedicated or self-hosted for enterprise | Delegating team backlog work with a choice of coding agents |
| Vellum | Personal AI Assistant | Native Mac desktop app or hosted Vellum Cloud; web, iOS, Slack, and Telegram interfaces with continuous context sync. | Personal AI assistant |
| Claude Code | Provider-native coding agent from Anthropic | Local terminal and IDE, plus Anthropic-hosted web sessions | Working with Claude across terminal, IDE, and cloud sessions |
| OpenAI Codex | Provider-native coding agent from OpenAI | Local CLI and IDE, plus OpenAI-hosted cloud tasks | Combining local OpenAI coding sessions with delegated cloud tasks |
| Cursor | AI-native code editor with Cloud Agents | Local editor; Cloud Agents run in isolated VMs | Moving between an editor and remote Cursor Agent tasks |
| GitHub Copilot coding agent | Agent built into GitHub | GitHub Actions runners | Assigning GitHub work to an agent that returns a pull request |
| Windsurf | Agentic code editor with Cascade | Local or remote developer workspace | Planning and editing with Cascade in the editor |
| Devin | Autonomous software engineer | Managed Devin cloud sessions | Delegating tasks to a packaged autonomous engineering agent |
| OpenCode | Open-source terminal coding agent | Developer's own machine or any server | Using an open-source agent with provider choice |
| Cline | Open-source IDE coding agent | Developer's own machine | Reviewing an open-source agent’s edits and tool actions |
| Factory | Agent-native software development platform | Local machines or managed Droid environments | Standardizing work around Droid with configurable models |
Replicas: delegating team backlog work with a choice of coding agents
Replicas takes delegated engineering tasks through implementation, testing, and review in isolated cloud workspaces. Work can start from Slack, Linear, GitHub, GitLab, the dashboard, or an automation. Your team can inspect the session, steer the agent, and review the resulting changes and test output.
Choose Replicas when you want cloud agents to handle backlog work while keeping a choice of Claude Code, Codex, Cursor, OpenCode, and other supported agents. Repository setup and acceptance criteria still need attention. If you only want help in an existing local terminal session, a standalone agent may be enough.
Vellum: personal AI assistant
Vellum is an open-source personal AI assistant designed to handle your full workflow across code, tickets, communication, and system operations. Rather than running purely as a chat interface or inline autocomplete, it executes tasks directly on your machine or in cloud environments with persistent memory and open tool protocols (including MCP). You own your assistant and all your data, and you can use any model you want with BYOK, hosted, and self-hosted options.
Choose Vellum when you want an autonomous assistant that you fully own and spans both engineering tasks and daily workflow management. It connects directly with your terminal, local files, and repos, while keeping sensitive API keys and credentials isolated in a dedicated vault outside model context.
- What it is: Personal AI Assistant
- Where work runs: Native Mac desktop app or hosted Vellum Cloud; web, iOS, Slack, and Telegram interfaces with continuous context sync.
- Workflow fit: Solo builders and technical operators managing development, issue tracking (Linear/GitHub), email/messaging, and recurring automations under supervised permission controls.
- Pricing: Free download and self-hosting; managed cloud tiers start at $30/mo (Mighty) up to $200/mo (Ultra) with no per-seat tax.
Claude Code: working with Claude across terminal, IDE, and cloud sessions
Claude Code reads repositories, edits files, runs commands, and works with Git. It supports instructions, skills, hooks, MCP, and parallel agents. Anthropic offers terminal, IDE, desktop, and browser surfaces, plus integrations for CI and Slack.
Choose it when you want the Claude Code workflow directly. Evaluate the local and hosted surfaces separately: setup, credentials, and available integrations depend on where you run it. It can also run inside Replicas when you want the surrounding team workflow.
OpenAI Codex: combining local OpenAI coding sessions with delegated cloud tasks
Codex supports local coding through its CLI and IDE tools and delegated tasks in OpenAI-hosted cloud environments. Cloud tasks can inspect a repository, change files, run checks, and produce changes for review.
Choose it when you want the Codex workflow and its hosted task surface. A local CLI session and a hosted cloud task have different environment setup and access. Test the surface you intend to use with your repository and dependencies.
Cursor: moving between an editor and remote Cursor Agent tasks
Cursor combines an AI code editor with Cloud Agents that work in isolated virtual machines. Cloud Agents can run and test software, use a browser, and return pull requests and review artifacts.
Choose Cursor when its editor and remote agent workflow fit your team. Check the cloud environment setup and usage pricing separately from the editor plan. Choosing an underlying model is different from choosing a coding agent such as Claude Code or Codex.
GitHub Copilot coding agent: assigning GitHub work to an agent that returns a pull request
GitHub Copilot cloud agent, also known as coding agent, works in a GitHub Actions environment and returns a pull request. It can take assigned tasks, explore code, make changes, and run checks before review.
Choose it when GitHub is where your team assigns and reviews work. Verify repository access, runner configuration, and workflow approval requirements against your organization policies. This entry covers the cloud agent; Copilot also has local editor and CLI experiences.
Windsurf: planning and editing with Cascade in the editor
Cascade provides code editing, terminal tools, checkpoints, and MCP integration within the editor. Its documentation describes planning and tool use against the current codebase.
Choose it when you want to work interactively with the agent in your editor. Check how concurrent sessions manage branches and running services before treating them as independent development environments.
Devin: delegating tasks to a packaged autonomous engineering agent
Devin takes a task through planning, implementation, testing, and a pull request in its managed environment. Teams can inspect its progress and give feedback as it works.
Choose Devin when its integrated task and review workflow fits your team. Compare it with Replicas on the same backlog tasks, environment requirements, and review effort. Replicas adds a choice of supported coding agents; that distinction alone does not establish which will complete your tasks better.
OpenCode: using an open-source agent with provider choice
OpenCode is an open-source coding agent with terminal, desktop, and editor interfaces. It supports multiple providers and local models, with configuration for tools and permissions.
Choose it when source access and provider choice matter. In a self-managed installation, you operate the machine and repository environment. Replicas also supports OpenCode for delegated cloud work.
Cline: reviewing an open-source agent’s edits and tool actions
Cline can inspect and edit code, execute terminal commands, use a browser, and connect to MCP tools. Its approval controls let developers review actions as the agent works.
Choose it when you want direct control over tool use and model configuration. Check which approvals and runtime features apply to the interface you use, and include environment management in the trial.
Factory: standardizing work around Droid with configurable models
Factory provides Droid for software development tasks. Droid settings include model selection, custom providers, tool permissions, and autonomy controls.
Choose it when the Droid workflow fits your organization. Compare the deployment and integration options you need alongside Replicas and Devin; model choice and coding-agent choice are separate requirements.
Repository trial
Run the same tasks through each finalist
Use the same repository snapshot, acceptance criteria, access, and review standard. Record the product, model, configuration, and date so you can explain differences in the result.
- A small feature with clear acceptance criteria and existing tests.
- A reproducible bug that needs investigation before editing.
- A CI failure or review follow-up on an existing pull request.
- Compare correctness, human review time, total cost, and environment setup. A passing test run is evidence to inspect, not a substitute for review.
FAQ
AI coding agent questions
Try Replicas
Delegate a real backlog task
Give Replicas a scoped issue, prepare the repository environment, and inspect the implementation and verification evidence. Use that trial to judge how much review and follow-up the work needs.