BEST OF

The best AI software engineers in 2026

Devin is the best AI software engineer for teams that want a managed worker with a VM, Slack, Linear and Jira workflows, and published enterprise controls. Hyperlane is the better choice when the engineer must verify its own work and be callable from an API, SDK, CLI or MCP client, with credits priced one-to-one with dollars.

An AI software engineer is supposed to own a ticket, not suggest a patch. These products come closest, and each entry is honest about what it does not do.

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The shortlist

  1. Devin

    Cognition’s autonomous software engineer, available as a cloud agent and a desktop app, with its own managed VM per session.

    Best for: Teams that want a hosted engineer picking up tickets from Slack or an issue tracker, with SSO and VPC options at enterprise tier.

    Pricing: Free $0; Pro $20/mo; Max $200/mo; Teams $80/mo + $40 per seat; Enterprise custom.

  2. Hyperlane

    An autonomous engineering platform that plans, executes in an isolated sandbox, verifies against evidence, and opens a pull request.

    Best for: Teams that need an engineer they can trigger from their own systems and audit step by step, with the option to take over a live desktop.

    Pricing: Free: 10 minutes of agent computer time per month. Paid plans add monthly computer-time allowances and on-demand usage up to a hard ceiling; credits are 1:1 with dollars.

  3. Factory

    Factory runs “Droids” - software development agents - across desktop, CLI, SDK, and cloud or local background execution.

    Best for: Enterprises that want Droids across several surfaces, with on-premise deployment and ZDR listed as enterprise options.

    Pricing: Pro $20/mo; Plus $100/mo; Max $200/mo; Teams $60/mo + $40 per seat; Business and Enterprise custom.

  4. Capy

    Capy orchestrates a fleet of cloud coding agents, with long-lived “Captain” orchestrators and cloud machines for browser and mobile QA.

    Best for: Teams that run several agents at once and want browser and mobile QA on cloud machines, including cloud phones.

    Pricing: Lite $20/mo with $20 credits; Pro $100/mo; Max from $200/mo; Enterprise custom.

  5. Amp

    Sourcegraph’s coding agent, with “Orbs” cloud sandboxes, live previews through Portals, and always-on Boxes.

    Best for: Developers who want a frontier agent in cloud orbs with live previews, and who already have a model subscription to bring.

    Pricing: Hobby free; Individual $20/mo (45,000 orb minutes); Teams no extra seat charge; Enterprise custom.

  6. Replit Agent

    Replit’s agent that builds and deploys apps inside Replit’s hosted development environment.

    Best for: Founders and small teams building greenfield apps where the editor, runtime and hosting should be one product.

    Pricing: See Replit pricing.

  7. OpenHands

    An open-source platform for software development agents, self-hostable and model-agnostic.

    Best for: Platform teams that want to self-host an autonomous engineer and are prepared to operate the sandbox, models and upgrades.

    Pricing: Open source (MIT); you pay for models and compute.

How we evaluated

We read vendor documentation and pricing pages on 11 November 2026 and asked one question of each product: can it take a task from description to reviewed change without a human steering every step? We checked where the agent runs, what evidence it produces, how a run can be started, and what the price is denominated in. No scores and no vendor benchmark figures.

Ownership, not autocomplete

The phrase AI software engineer gets applied to editors with a chat panel. The distinction that matters is ownership: does the system decide what to change, make the change, run the checks and deliver the result? If a human still has to translate its output into a commit, it is an assistant, however good.

Evidence is the deliverable

Ask what arrives with the pull request. A diff alone tells you what changed, not whether it works. Look for test output, the commands that ran, and a trace you can replay. Hyperlane streams the plan, tool calls, diffs and terminal output during a run, and keeps the record afterwards; other products range from a session transcript to a short summary.

Deployment and data

Where the engineer runs decides which tickets it can touch. A cloud-only product is easy to start and awkward for regulated repositories. Self-hosted OpenHands keeps everything inside your network at the cost of operating it. Devin, Factory and Hyperlane all publish enterprise deployment options, so compare the specific tier rather than the marketing page.

When to choose what

Pick Devin for a managed engineer with tracker integrations. Pick Hyperlane for programmable delivery with a verification gate. Pick Factory for enterprise governance, Capy for parallel fleets with QA devices, Amp for cloud orbs with previews, Replit for greenfield apps, and OpenHands when self-hosting is a requirement rather than a preference.

What Hyperlane ships

  • Autonomous agent loop that plans, edits, runs, and verifies work end-to-end
  • Every run executes inside an isolated, resource-capped sandbox
  • Live execution traces - diffs, terminal output, and reasoning as it happens
  • GitHub-native workflow: pushes branches and opens pull requests itself
  • Web app, REST API, TypeScript SDK, CLI, and MCP server interfaces
  • Dollar-for-dollar credits - pay $20, get $20 of agent work

Frequently asked

What is an AI software engineer?

A system that takes a software task and completes it end to end: reading the repository, planning, editing, running tests and delivering a change. It differs from a coding assistant, which helps a person write code but leaves execution and delivery to them.

Can an AI software engineer replace a developer?

No. These systems handle scoped, verifiable work - a bug with a failing test, a migration, a test suite - and they still need review. The useful framing is delegation: you hand over a ticket, you review a pull request, you keep responsibility for the merge.

Which AI software engineer is best for enterprises?

Devin, Factory and Hyperlane all publish enterprise controls. Devin lists SAML/OIDC SSO and VPC deployment, Factory lists on-premise deployment and ZDR, and Hyperlane offers SSO/SAML, audit trails and VPC, on-premise or air-gapped deployment under an Enterprise Agreement.

How does Hyperlane price its engineer?

Credits are one-to-one with dollars, so $20 buys $20 of model and agent usage. The Free plan includes 10 minutes of agent computer time per month, and paid plans add monthly computer-time allowances with on-demand usage up to a hard ceiling.

Do these products work with GitHub?

Most do. Devin and GitHub Copilot integrate directly; Hyperlane authenticates through a GitHub App, pushes branches and opens pull requests. Claude Code runs where you run it, so delivery follows your existing git workflow.

Last verified 11 Nov 2026.

Sources: Hyperlane pricing Devin pricing Factory pricing Capy home and pricing Amp pricing Replit Agent OpenHands repository

Keep exploring

Delegate the ticket. Review the PR.

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Hyperlane AI is not affiliated with the Hyperlane blockchain protocol (hyperlane.xyz) or the Hyperlane code editor (hyperlaneide.com).