8 best Devin alternatives for engineering teams in 2026
Published September 4, 2026
Summary
Devin popularized the autonomous software engineer. These eight alternatives cover cloud agent workspaces, provider-native agents, and open-source platforms for teams that want a different working model, a different cost structure, or their own choice of harness.
Why teams look
Why teams look beyond Devin
Devin is a strong product, and most teams evaluating alternatives are not unhappy with the output. They are reacting to the shape of the product: one proprietary agent, metered through one vendor, with a fixed way of working.
- Engineers already trust Claude Code, Codex, or Cursor and want that agent doing the delegated work too.
- The company has existing Anthropic, OpenAI, or Bedrock commitments and does not want to rebuy inference through a bundled platform.
- The team wants full control of the agent environment: images, dependencies, browsers, MCP servers, and secrets.
- Work needs to start from GitLab, Sentry, a schedule, or a webhook, not only from the surfaces one vendor supports.
- Procurement wants a per-seat price that is predictable for a whole engineering team.
8 Devin alternatives
Devin alternatives at a glance
The table compares each tool by what it actually is, where the agent runs, and who it fits. Product surfaces change quickly in this category, so verify pricing and deployment details against each vendor before committing.
| Tool | Product model | Where work runs | Best for |
|---|---|---|---|
| Replicas | Cloud agent workspace for engineering teams | One isolated Linux VM per task; dedicated or self-hosted for enterprise | Teams delegating work to Claude Code, Codex, Cursor, or OpenCode from Slack, Linear, GitHub, GitLab, or automations |
| Claude Code | Provider-native coding agent from Anthropic | Local terminal and IDE, plus Anthropic-hosted web sessions | Engineers who want Anthropic-native agent behavior and Claude subscription economics |
| OpenAI Codex | Provider-native coding agent from OpenAI | Local CLI and IDE, plus OpenAI-hosted cloud tasks | Teams standardized on OpenAI models and ChatGPT subscriptions |
| GitHub Copilot coding agent | Agent built into GitHub | GitHub Actions runners | Organizations that live entirely in GitHub and want issue-to-PR automation there |
| Google Jules | Asynchronous coding agent from Google | Google-managed cloud VMs | Teams on Gemini that want a simple async task-to-PR flow |
| Factory | Agent-native software development platform | Local machines or managed Droid environments | Enterprises standardizing Droid-led workflows across the SDLC |
| OpenHands | Open-source coding agent platform | OpenHands Cloud or self-hosted | Teams that want an open, model-agnostic agent they can inspect and host |
| Tembo | Cloud platform for running coding agents | Tembo cloud or self-hosted | Enterprise teams that want managed orchestration across several agents |
Replicas: best for teams that want cloud execution without switching harnesses
Replicas runs the coding agents your engineers already trust inside isolated cloud workspaces connected to your repositories. Each task gets its own Linux VM with your dependencies, environment variables, MCP servers, and skills, and the agent returns a pull request, a test report, or an investigation your team can inspect and steer.
Work starts from wherever it already lives: a Linear issue, a Slack thread, a PR comment, a failed CI run, a schedule, a webhook, or the dashboard. Because Replicas is harness-agnostic, you can use existing Anthropic, OpenAI, Bedrock, or other inference credentials where supported instead of buying model usage through one vendor.
Pricing is per seat with a 14-day trial and no credit card. Enterprise plans add SOC 2, SCIM, audit logs, static egress IPs, and single-tenant or self-hosted deployment.
Claude Code
Claude Code is the harness many engineering teams already trust for daily work. It runs in the terminal or IDE, supports plans, hooks, skills, and MCP servers, and is often the reference point in agent comparisons.
On its own it is a single-developer tool. Teams that want Claude Code triggered from Linear or Slack, running in shared environments with audit trails, usually pair it with a cloud workspace layer rather than replacing it.
OpenAI Codex
Codex gives ChatGPT subscribers a coding agent in the terminal, IDE, and browser, with cloud tasks that run in OpenAI-managed sandboxes and open pull requests.
Like Claude Code, it is tied to one model family and one vendor's sandbox. It is a strong harness but not a team-level environment or automation layer.
GitHub Copilot coding agent
Copilot's coding agent can be assigned a GitHub issue, work in a GitHub Actions environment, and open a pull request for review. For teams already paying for Copilot, it is the lowest-friction way to try delegated work.
Execution is bound to GitHub Actions and the GitHub surface. Teams on GitLab, teams that need browsers and long-running services in the agent's environment, or teams that want to choose the harness look elsewhere.
Google Jules
Jules clones a repository into a cloud VM, plans a change, runs it, and returns a pull request. It is the Gemini-native answer to Codex cloud tasks and Claude Code on the web.
It is a single-agent, single-provider product with limited environment customization compared with a general cloud workspace platform.
Factory
Factory's Droids cover coding, review, testing, and reliability work with an enterprise sales motion and a platform-wide model of how agents should run.
It is a good fit for organizations that want to adopt one agent system top-down. It is a heavier commitment for teams that want to keep their existing harnesses.
OpenHands
OpenHands is the most established open-source cloud coding agent. It is model-agnostic, can be self-hosted, and has a managed cloud offering for teams that want the open foundation without running it themselves.
Self-hosting shifts environment management, scaling, and security onto your platform team. That is the right trade for some organizations and unnecessary overhead for others.
Tembo
Tembo is the closest orchestration competitor to Replicas. It runs several third-party agents in the cloud, integrates with GitHub, Slack, and Sentry, and offers self-hosting for enterprise buyers.
Evaluate the two on harness coverage, environment configurability, trigger surfaces, and whether you can bring your own inference paths.
Decision guide
How to pick a Devin alternative
Most teams are not choosing between good and bad tools. They are choosing between working models: an editor, a packaged autonomous engineer, a provider-native CLI, an open-source agent, or a shared cloud workspace. Decide which model fits how your team wants to delegate and review work, then compare products inside that model.
- Keep the packaged-agent model
- Factory is the closest like-for-like alternative if you want one vendor to own the agent, the workspace, and the workflow.
- Go provider-native
- Claude Code, Codex, or Jules if your team is happy standardizing on one model family and its hosted sandbox.
- Stay inside GitHub
- Copilot coding agent if every repository is on GitHub and Actions-based execution is enough.
- Keep harness choice, add a cloud workspace
- Replicas or Tembo if engineers should keep choosing the agent while the platform handles environments, triggers, and review.
- Own the stack
- OpenHands if open source and self-hosting matter more than a managed experience.
Replicas fit
When Replicas is the right Devin alternative
Replicas is strongest when the goal is delegated, reviewable engineering work in the cloud rather than a better local editing experience. Teams typically shortlist it when several of the following are true.
- You want Devin-style delegation but with the harness your engineers already use.
- You have inference credits or subscriptions you want to reuse where supported.
- You need agents triggered from Linear, Slack, GitHub, GitLab, CI failures, and schedules with one environment definition.
- You want to watch, comment on, and take over the agent's session and desktop, not only read the final PR.
- You need SOC 2, SCIM, audit logs, and a self-hosted option as the team grows.
Evaluation
Run the same five tasks through every finalist
Demos favor whichever product built the demo. Pick tasks from your own backlog and run them through each finalist with the same repository, the same review standard, and the same person judging the result.
- A code review follow-up: address reviewer comments on an open pull request and get CI green again.
- A CI failure: investigate a failing job, reproduce it, and ship a fix with the reasoning attached.
- A small feature from a ticket: implement it end to end, including tests, from a Linear or GitHub issue.
- A flaky end-to-end test: find the root cause instead of adding a retry.
- A backlog cleanup pass: remove dead code or stale feature flags across the repository without breaking anything.
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