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“I want to delegate my small code tasks and review the result the next day”

⚠ Lifecycle status — Jules: this service closes on December 31, 2026. Sessions to be finished before November 11, 2026, read-only afterwards. (Google announcement, November 2026.)

Developers and small teams with a backlog of well-scoped tasks — simple bug fixes, version upgrades, tests to write, small refactorings — that never move forward because nobody has time to tackle them.

💰 From $20/month (Devin on an individual plan; Codex cloud included in ChatGPT from $20/month) up to several hundred dollars a month for intensive team use. Level: Intermediate 🌍 United States No lasting free plan at Devin; Codex cloud and Jules are included in existing subscriptions (paid ChatGPT, Google AI Pro)

Asynchronous code agents: you assign a ticket, the agent works alone in the cloud, and you find a pull request to review. Devin (devin.ai, Cognition) is the category's archetype; Codex cloud (OpenAI) is included in paid ChatGPT plans and Jules (Google) in Google AI Pro — much cheaper doors to test the concept.

How it works

Trigger: You assign a task or a ticket to the agent — explores the code, writes the change, runs the tests and opens a documented pull request, and you get a pull request ready to review in the morning, instead of a task sleeping in the backlog.

Step-by-step setup

  1. Start with the cheapest route: Codex cloud if you already have paid ChatGPT, or Jules with Google AI Pro.
  2. Choose a first bounded, well-described task (a simple bug, missing tests) with its acceptance criteria.
  3. Connect the GitHub repo, limiting access to the repos concerned.
  4. Review the pull request like a junior developer's: tests, edge cases — nothing merges without review.
⚠️ Guardrails: These tools' pricing changed profoundly in 2026 (Devin moved from a compute-unit model to quotas): check the current grid before committing, and cap consumption at the start. Delegate neither secrets nor critical code without review: a confident pull request can contain a well-disguised flaw. News (November 2026): Google has announced the shutdown of Jules — sessions to be finished before November 11, 2026, read-only afterwards, closing on December 31, 2026.
🔧 Technical details
Installation
hybrid — common denominator: asynchronous code tasks executed in the publisher's isolated cloud environments, producing diffs and pull requests to review. Differences: Devin adds a local CLI and Desktop plus Outposts on the customer's infrastructure; Codex cloud remains fully managed by OpenAI (the CLI and the IDE extension are its local sides); Jules is used via the web, its CLI and its API, but execution takes place only in Google's cloud.
Prerequisites
Common: an account with the publisher and connecting a Git repo. Devin: GitHub, GitLab, Bitbucket or Azure DevOps repos, environment prepared by blueprints (dependencies, variables, secrets). Codex cloud: a ChatGPT account whose plan includes Codex Cloud (Plus, Pro, Business, Enterprise, Healthcare, Education eligible; neither Free nor Go) and a published cloud environment. Jules: a Google account (18 and over), the Jules GitHub app authorized on the repos; paid plans via a Google AI subscription attached to a personal @gmail.com account.
Hardware
non_applicable — managed cloud execution at all three publishers; the only documented elements: the Jules VM has 20 GB of disk (official changelog), and Devin's Outposts run on the customer's machines, sized by them.
Self-hosting
partial — only Devin offers execution on the customer's infrastructure: Outposts (self-hosted workers, the inference loop staying in Cognition's cloud) and dedicated deployment in a VPC; Codex cloud and Jules are only hosted by their publisher.
License
the three cloud services are commercial products, but the exact license of each component (CLI, SDK, servers) was not verified component by component in the official sources consulted.
API & integrations
API: yes — Devin exposes a REST API (v3, sessions, organizations, Enterprise) and Jules a v1alpha REST API (sources, sessions, activities; API key, maximum 3 keys per account). For Codex, the documented surface is the SDK and the app-server for local agents, plus the Analytics and Compliance APIs; no documented cloud-task REST API. · SDK: yes — official Codex SDKs in TypeScript (@openai/codex-sdk) and Python (openai-codex) to control local Codex agents. Devin and Jules SDKs: non_documente. · CLI: yes — at all three: Devin CLI (with task transfer to the cloud), Codex CLI (which can also launch cloud tasks) and Jules Tools (@google/jules: remote new/list/pull, TUI dashboard). · Webhooks: yes — Devin Automations can start sessions from webhooks (also Slack, GitHub, Linear, schedules). Codex and Jules webhooks: non_documente. · MCP: yes — at all three, on the client side: Devin connects to MCP servers and exposes its own MCP server; Codex supports MCP servers; Jules only supports a restricted list of approved MCP servers (Linear, Stitch, Neon, Tinybird, Context7, Supabase at launch).
Models
Devin: multi-model composed system — recent models from Anthropic, OpenAI, Google and Cognition, plus open models (DeepSeek, Kimi, GLM) in the selector; third-party LLM keys not supported (official deployment FAQ). Codex: OpenAI models only, the default model depends on the plan and configuration. Jules: Google's Gemini models — Gemini 2.5 Pro on free, higher (Pro) or priority (Ultra) access to the latest model, starting from Gemini 3 Pro.
Data
Common: the repo is cloned into the publisher's isolated cloud environment, which installs the dependencies there, modifies the code and returns a diff or a PR. Codex: ChatGPT's data controls apply to the processed content; for Business, Enterprise and Edu, OpenAI states it doesn't use inputs and outputs to improve its models by default. Jules: no training on private repo content (official FAQ). Devin: training and retention policy non_documente in the official pages consulted (Trust Center page inaccessible during the research).
Documented limits
Jules publishes precise quotas: 15 tasks/day and 3 concurrent (free), 100/day and 15 concurrent (Pro), 300/day and 60 concurrent (Ultra), per rolling 24-hour window. Codex: no separately published cloud-task limit — usage counts against the ChatGPT plan's Codex allowance and credits, with no distinct VM charge at launch. Devin: consumption measured in plan quota or ACUs (Enterprise), number of concurrent sessions depending on the plan, sleep after 30 minutes of inactivity (5 minutes for Lite sessions and those created via API).
Operations
Devin: SSO, SCIM, RBAC and custom roles, ACU limits per organization and per user, Session Insights and audit API in Enterprise; dedicated deployment in a single-tenant VPC possible. Codex: workspace RBAC, compliance API (usage logs, local and cloud clients), Agent Security policies (sandbox, approvals, network access by domain) and shareable cloud environments. Jules: plan approval before execution, activity feed and notifications; no documented SSO or SCIM (individual Google accounts).

Official sources: docs.devin.ai · docs.devin.ai · docs.devin.ai · docs.devin.ai · docs.devin.ai · developers.openai.com — verified on November 1, 2026.

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Frequently asked questions

How much does Devin, Codex cloud and Jules (async coding agents) cost?

From $20/month (Devin on an individual plan; Codex cloud included in ChatGPT from $20/month) up to several hundred dollars a month for intensive team use. No lasting free plan at Devin; Codex cloud and Jules are included in existing subscriptions (paid ChatGPT, Google AI Pro).

Is Devin, Codex cloud and Jules (async coding agents) free?

No. No lasting free plan at Devin; Codex cloud and Jules are included in existing subscriptions (paid ChatGPT, Google AI Pro).

Is Devin, Codex cloud and Jules (async coding agents) hard to get started with?

Level: Intermediate. Setup takes 4 steps; the first: Start with the cheapest route: Codex cloud if you already have paid ChatGPT, or Jules with Google AI Pro.

What limits and guardrails should I know about with Devin, Codex cloud and Jules (async coding agents)?

These tools' pricing changed profoundly in 2026 (Devin moved from a compute-unit model to quotas): check the current grid before committing, and cap consumption at the start. Don't delegate secrets or critical code without review: a confident pull request can contain a well-disguised flaw.

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Profile updated on November 1, 2026 — see what's new at the Directory.