Best software · Developer & data
10 Best AI Coding Agents of 2026
This list is for engineering leads and developers who want to delegate whole tasks, such as a bug fix, a test suite or a dependency upgrade, to an agent that plans, edits many files, runs commands and comes back with a pull request. It covers agents that run in the terminal, the editor, the cloud or all three. We compared documented features and published prices from each vendor's own pages. Read the overall score first, then the bestFor line, because the right agent depends on where your team already works: GitHub, Slack, a specific IDE or a ticket queue.
By the Mojolin research desk · Updated November 9, 2026 · 10 tools compared · Prices checked on vendor pages, latest November 9, 2026
Questions or corrections: editorial@mojolin.com
Mojolin is self-funded How we score
Claude Code is our top pick: it takes a bug fix, test or multi-day migration from the terminal, IDE, Slack, web or phone, and opens pull requests through GitHub and GitLab, all included with Claude Pro at $17 a month billed annually. GitHub Copilot is the runner-up and the easiest rollout for teams already on GitHub, since Copilot in the cloud works from issues, pull requests, the CLI and the Copilot app on a $10 Pro plan. OpenAI Codex is close behind with cloud tasks, automatic code review and a $20 per user Business plan. Devin is the most autonomous option for teams that want an agent to own tickets end to end, and Cline is the pick for teams that want an open source agent and control over model spend.
Top picks
Best overall
Claude Code
9.1 / 10
Teams that hand off long, multi-file tasks and want one agent across terminal, IDE, Slack and mobile.
Read the review →Runner-up
GitHub Copilot
9.0 / 10
Teams on GitHub that want to assign agent work from issues and pull requests at a low per-seat price.
Read the review →Also great
OpenAI Codex
8.9 / 10
Teams on ChatGPT that want cloud coding tasks, automatic code review and Slack hand-offs in one subscription.
Read the review →Comparison table
| # | Tool | Pricing | Score | |
|---|---|---|---|---|
| 1 | Claude Code | Teams that hand off long, multi-file tasks and want one agent across terminal, IDE, Slack and mobile. | Included with Claude Pro at $17 per month billed annually or $20 monthly; Max $100 per month; Ultra $200 per month; Team standard seats $20 per seat per month billed annually | 9.1 |
| 2 | GitHub Copilot | Teams on GitHub that want to assign agent work from issues and pull requests at a low per-seat price. | Free plan with limited chat and agent usage; Pro $10 per month; Pro+ $39 per month; Max $100 per month | 9.0 |
| 3 | OpenAI Codex | Teams on ChatGPT that want cloud coding tasks, automatic code review and Slack hand-offs in one subscription. | Free tier; Go $8 per month; Plus $20 per month; Pro from $100 per month; Business $20 per user per month billed annually (2+ users) | 8.9 |
| 4 |  Devin | Teams that want an agent to own tickets end to end, from Slack or Jira to a tested pull request. | Free plan; Pro $20 per month; Max $200 per month; Teams $80 per month plus $40 per full dev seat | 8.6 |
| 5 |  Cursor | Developers who want an agent inside an AI-first editor, with cloud agents for parallel work. | Free plan; Plus $8 per month (Grok models only); Premium $30 per month; Super $100; Ultra $200; Teams from $30 per user per month | 8.5 |
| 6 |  Augment Code | Teams up to 50 people who want flat pricing and agents wired into GitHub, GitLab, Slack, Linear and Jira. | Standard $20 per month flat for up to 50 seats with $20 of usage; Business $100 per month flat with $100 of usage; Enterprise custom | 8.4 |
| 7 |  Cline | Teams that want an open source agent, full control over models and pay only for inference. | Free for individual developers; pay only for AI inference or bring your own keys; Enterprise custom | 8.3 |
| 8 |  Factory | Larger engineering organizations that need governed, model-agnostic agents with analytics and on-premise options. | Pro $20 per month; Plus $100 per month; Max $200 per month; Teams $60 per month plus $40 per seat; Business and Enterprise custom | 8.3 |
| 9 |  Amp | Developers and small teams who want cloud agents and can bring their own ChatGPT, Claude or API subscription. | Hobby free with pay-as-you-go orbs and your own subscriptions or keys; Individual tiers from $20 per month; Teams at no extra charge; Enterprise custom | 8.2 |
| 10 |  Google Jules | Individual developers on GitHub who want a free asynchronous agent for well-scoped tasks. | See vendor pricing (USD check pending). Free plan with 15 tasks per day; Jules in Pro and Ultra come with Google AI Pro and Ultra | 8.0 |
Scoring weights
Every tool gets three editorial scores out of 10, from vendor documentation, product pages and the published price. The overall score is the weighted average below, the same method on every list. Full method
The full ranking
Rank 1 · Best overall
Claude Code
Anthropic's coding agent that takes bug fixes, tests and multi-day migrations and is steered from the terminal, IDE, Slack, web or phone.
claude.com9.1
out of 10
Best for: Teams that hand off long, multi-file tasks and want one agent across terminal, IDE, Slack and mobile.
Claude Code is built around delegation. You describe a bug, a missing test suite or a migration, and it builds a plan, asks clarifying questions, follows imports across the repo, runs your tests and opens a pull request through GitHub or GitLab. Anthropic says it handles work that runs for hours or days, and the newer Projects view in the desktop app groups sessions so one engineer can supervise several agents at the same time.
The agent is reachable from more places than most rivals: the terminal, VS Code, JetBrains, the web, iOS, Android, GitHub and Slack. Code Review for pull requests is generally available on Team and Enterprise. The catch is metering. Pro at $17 a month billed annually covers light use, but usage limits reset every 5 hours and weekly, so teams that delegate all day will need Max at $100, Ultra at $200 or premium Team seats. It also only runs Anthropic's own models.
Standout feature
One agent that can be steered from the terminal, IDE, Slack, web and phone on the same task.
Use cases
Platform teams
Run a multi-day framework migration across a monorepo
Outcome: A reviewed pull request instead of a migration sprint
On-call engineers
Hand Claude a bug report from Slack
Outcome: A reproduced fix and tests waiting for review
New hires
Ask for a walkthrough of an unfamiliar codebase
Outcome: A structured map of components and dependencies
Key features
- Available in the terminal, desktop app, VS Code, JetBrains, web, iOS, Android, GitHub and Slack
- Reads issues, writes code, runs tests and opens pull requests with GitHub and GitLab
- Agentic search maps a codebase without manual context selection
- Projects group related sessions so you can supervise several agents at once
- Code Review for pull requests on Team and Enterprise
Pros
- Built for work that runs for hours or days, including refactors and migrations
- Same agent across local and remote surfaces, including Slack and mobile
- Team plan includes up to $500 a month in pooled API credits
Cons
- Not available on the free Claude plan
- Usage limits reset every 5 hours and weekly, so heavy delegation needs Max or Ultra
- Runs Anthropic models only
Rank 2 · Runner-up
GitHub Copilot
GitHub's AI coding product, whose Copilot in the cloud agent plans changes, opens pull requests and runs automations from GitHub, the IDE, the CLI and mobile.
github.com9.0
out of 10
Best for: Teams on GitHub that want to assign agent work from issues and pull requests at a low per-seat price.
GitHub Copilot's agent features now sit under Copilot in the cloud, which became available to paid plans on October 28, 2026. You can ask Copilot about a repository, have it plan and add missing tests, request its review on the resulting pull request, and set up automations such as a weekly check for missing tests. Sessions can start on GitHub.com and continue in the Copilot app, VS Code, the CLI or GitHub Mobile without losing context.
For team rollouts, the environment choice matters. Cloud sandboxes are faster on average in GitHub's own testing and can span several repositories in one organization, while GitHub Actions sessions support self-hosted runners and custom network setup. Custom agents, skills, hooks and MCP servers let you shape the agent to your codebase. Pricing is the lowest of the major agents at $10 a month for Pro, though usage is drawn from GitHub AI Credits, so heavy delegation pushes teams toward Pro+ at $39 or Max at $100.
Standout feature
Agent sessions move between GitHub.com, the Copilot app, VS Code, the CLI and mobile.
Use cases
Teams triaging a backlog
Assign Copilot an issue from GitHub
Outcome: A draft pull request ready for review
Maintainers
Schedule a weekly automation that proposes missing tests
Outcome: Coverage gaps closed without a manual audit
Platform teams with private networks
Run agent sessions on self-hosted GitHub Actions runners
Outcome: Agents that work inside existing network rules
Key features
- Copilot in the cloud: plan, change and review code in one session on GitHub.com and GitHub Mobile
- Sessions continue across the Copilot app, VS Code, Copilot CLI and mobile
- Cloud sandboxes, GitHub Actions runners or remote custom environments
- Custom agents, agent skills, hooks and MCP servers
- Access to third-party agents, Claude Code and Codex, on Pro
Pros
- Work starts from issues and pull requests your team already uses
- Cloud sandbox sessions can change several repositories in one organization
- Pro at $10 is the lowest-priced plan with cloud agents
Cons
- Free plan users keep the older chat experience, not Copilot in the cloud
- GitHub AI Credits make heavy agent use harder to forecast
- Tied to GitHub, so GitLab and Bitbucket teams get less from it
Rank 3 · Also great
OpenAI Codex
OpenAI's coding agent for the web, CLI, IDE extension, desktop app and iOS, included with ChatGPT plans.
openai.com8.9
out of 10
Best for: Teams on ChatGPT that want cloud coding tasks, automatic code review and Slack hand-offs in one subscription.
Codex is included in every ChatGPT plan, which makes it the cheapest agent to try for teams already on ChatGPT. The free tier and Go at $8 a month cover quick, lightweight coding tasks. Plus at $20 is where it becomes a delegation tool: Codex runs on the web, in the CLI, the IDE extension and on iOS, with cloud integrations for automatic code review and Slack. Pro starts at $100 and scales to $200 or $500 a month for heavier usage.
For teams, Business at $20 per user per month billed annually adds larger virtual machines for faster cloud runs, a dedicated workspace with SAML SSO and MFA, and no training on business data by default. An API key mode lets you run Codex in CI and shared environments at API prices, though it drops the cloud features. The SDK and codex exec make it easy to script recurring jobs. Usage is shared with ChatGPT, so heavy chat users can run out sooner.
Standout feature
Included with every ChatGPT plan, from Free and $8 Go up to Enterprise.
Use cases
Teams on ChatGPT Business
Hand off a feature from Slack to a Codex cloud task
Outcome: A pull request with automatic code review attached
DevOps engineers
Run Codex in CI with an API key
Outcome: Scripted fixes billed per use instead of per seat
Solo developers
Try agent coding on the free tier or Go
Outcome: Low-cost delegation of small tasks
Key features
- Codex on the web, in the CLI, IDE extension, desktop app and iOS
- Cloud-based automatic code review and Slack integration from Plus
- Codex SDK, codex exec and access tokens for scripted automation
- API key mode for CI and shared environments, billed at API prices
- Business adds larger virtual machines, SAML SSO and no training on business data by default
Pros
- Comes with ChatGPT plans many teams already pay for
- Plus at $20 includes cloud tasks, code review and Slack
- API key mode suits CI pipelines without per-seat plans
Cons
- Go covers lightweight tasks only
- API key mode drops cloud features such as GitHub code review and Slack
- Business requires at least 2 users
Rank 4
Devin
Cognition's autonomous software engineer that runs in the cloud or on your machine, tests in its own browser and works until a pull request is ready.
devin.ai8.6
out of 10
Best for: Teams that want an agent to own tickets end to end, from Slack or Jira to a tested pull request.
Devin is the most hands-off agent on this list. You delegate from Devin Cloud, the Desktop app, the CLI or by tagging @Devin in Slack or Teams, and it reads the thread, plans the work and keeps going until the pull request is ready to merge. It spins up its own Windows, Mac or Linux machines to build and test, clicks through what it built in a browser and records the session, which gives reviewers evidence instead of a bare diff. Large tasks can be split across parallel cloud agents.
Automations let Devin react to bugs, failed CI and alerts, and DeepWiki keeps architecture maps current. Pro at $20 a month includes Devin Cloud and frontier models from several labs, Max is $200, and Teams costs $80 a month plus $40 per full seat for up to 200 users. Extra usage is charged at API pricing, so long autonomous runs need monitoring. Enterprise adds VPC deployment and SAML or OIDC SSO.
Standout feature
Tests its own changes on its own machines and records the walkthrough for reviewers.
Use cases
Product engineering teams
Tag @Devin on a bug report in Slack
Outcome: A fix with a regression test and a pull request
SRE teams
Route PagerDuty alerts to a Devin automation
Outcome: Investigation and a proposed fix before a human picks it up
Teams on Bitbucket or GitLab
Delegate dependency upgrades across services
Outcome: Parallel pull requests without GitHub lock-in
Key features
- Spins up its own Windows, Mac and Linux virtual machines to build, test and record itself
- Splits big tasks across parallel cloud agents and reports back
- Tag @Devin in Slack and Teams; integrates with Linear, Jira, GitHub, GitLab and Bitbucket
- Automations that respond to bugs, failed CI and alerts
- DeepWiki keeps code maps and diagrams current
Pros
- Tests its own work in a browser and records the result
- Works with GitHub, GitLab and Bitbucket
- Keeps working after you close your laptop
Cons
- Cloud agents (Devin Cloud) start on Pro, not Free
- Team plan base fee plus per-seat charges adds up for small teams
- Extra usage is billed at API pricing
Rank 5
Cursor
An AI code editor and CLI whose Cursor Agent edits code locally and, on higher plans, runs cloud agents that build, test and demo features.
cursor.com8.5
out of 10
Best for: Developers who want an agent inside an AI-first editor, with cloud agents for parallel work.
Cursor positions itself as a coding agent rather than an editor, and Cursor Agent is available on every plan from Free up. The desktop app and CLI handle local agent work, and from Premium at $30 a month cloud agents and automations run in parallel on their own computers, building and testing features and returning a demo for you to review. Premium also adds Bugbot code reviews and code hosting through Origin.
The pricing has changed shape. The $8 Plus plan is an introductory tier that only includes Grok models, and the plans now bundle features for posting and following on X alongside coding. Third-party models such as those from other labs are billed separately at API list price. Teams start at $30 per user per month with pooled usage. For developers who want agent work and an AI editor in one place, Cursor is capable, but compare total cost carefully against agent-first tools.
Standout feature
Cursor Agent is included on every plan, including Free.
Use cases
Front-end developers
Ask a cloud agent to build a page from a spec
Outcome: A tested feature with a recorded walkthrough
Small teams
Run Bugbot reviews on every pull request
Outcome: Bugs flagged before merge
Terminal users
Run Cursor Agent from the CLI
Outcome: Agent edits without opening the editor
Key features
- Cursor Agent on every plan, in the desktop editor and the CLI
- Cloud agents and automations from Premium
- Agents use their own computers to build, test and demo features
- AI code reviews via Bugbot and code hosting via Origin from Premium
- Third-party models at API list price on Premium and above
Pros
- Agent mode is included even on the free plan
- Cloud agents run in parallel and return walkthroughs
- Editor, CLI and mobile access in one product
Cons
- Plus only includes Grok models
- Cloud agents need Premium at $30 a month
- Plans now bundle social features unrelated to coding
Rank 6
Augment Code
An agent platform built on a codebase Context Engine, with Cosmos orchestrating fleets of agents for review, ticket-to-PR, incidents and migrations.
augmentcode.com8.4
out of 10
Best for: Teams up to 50 people who want flat pricing and agents wired into GitHub, GitLab, Slack, Linear and Jira.
Augment Code has moved from an IDE assistant to an orchestration platform. Cosmos runs fleets of agents it calls experts: a work dispatcher triages tickets, a PR author takes a task through to merge, a review fleet posts inline findings and a tester exercises the change and posts screenshots. Loops can be triggered from GitHub, GitLab, Slack, Linear, Jira, schedules or webhooks, and work pauses at human review gates. Agents run in managed cloud sandboxes, on your own machines or both, and all of it draws on Augment's Context Engine.
Pricing is unusual. Standard is $20 a month flat with no per-seat charge for up to 50 seats, including $20 of usage across models, the Context Engine and compute, and Business is $100 a month with $100 of usage. That makes the entry price very low for a team, but the included usage is small, so expect pay-as-you-go top-ups. SSO, SCIM and audit trails need Enterprise.
Standout feature
A flat $20 a month covers up to 50 seats.
Use cases
Teams on Linear or Jira
Assign a ticket and let the ticket-to-PR loop handle it
Outcome: A reviewed pull request linked to the ticket
Security teams
Route CVE alerts into a remediation loop
Outcome: Patches ready for approval
Startups under 50 people
Give every engineer agent access on one plan
Outcome: Agent coverage for a flat monthly fee
Key features
- Context Engine for codebase-wide context
- Cosmos agent orchestration with experts for triage, authoring, review and testing
- Native triggers for GitHub, GitLab, Slack, Linear, Jira, schedules and webhooks
- Managed cloud sandboxes, your own machines or both
- CLI, MCP and native tools, 50 concurrent sessions on Standard
Pros
- One flat price covers up to 50 seats
- No AI training on customer code on every plan
- SOC 2 Type II on Standard and Business
Cons
- Included usage is small, so active teams will buy top-ups
- SSO and audit trails are Enterprise only
- No free plan
Rank 7
Cline
An open source coding agent for VS Code, JetBrains, the terminal and desktop, with plan and act modes and any model you choose.
cline.bot8.3
out of 10
Best for: Teams that want an open source agent, full control over models and pay only for inference.
Cline is the open source option. The extension, CLI and desktop app are free for individual developers, and you pay only for inference, either through the Cline provider at cost or with your own keys from Anthropic, OpenAI, Google, OpenRouter, Bedrock, Vertex and others, including local models through Ollama or LM Studio. Plan mode lets you agree on a strategy before Act mode edits files, and every step has a diff, a checkpoint and one-click undo.
For delegation beyond the editor, Cline runs headlessly in GitHub Actions, GitLab or any pipeline, connects to Slack, Discord, Telegram and Linear, and supports coordinator agents that hand work to specialists on cron schedules. The trade-off is setup and cost control: you pick and pay for models yourself. Team features such as the JetBrains extension, centralized billing, SSO and role-based access sit in Enterprise, which is priced through sales.
Standout feature
Open source, with any model from frontier APIs to local weights.
Use cases
Teams with strict data rules
Run Cline against a self-hosted model
Outcome: Agent coding without sending code to a hosted lab
CI owners
Run Cline headlessly in GitHub Actions
Outcome: Automated fixes inside the existing pipeline
Cost-conscious developers
Switch between cheap and frontier models per task
Outcome: Agent help with spend matched to the job
Key features
- Plan mode to agree a strategy, then Act mode to execute with step approval or auto-approve
- Works with Claude, GPT, Gemini, local Ollama or LM Studio and any OpenAI-compatible endpoint
- Runs headlessly in GitHub Actions, GitLab or any pipeline
- Coordinator agents delegate to specialists and can run on cron schedules
- Rules, skills, MCP servers and an SDK for embedding the agent
Pros
- Open source with no subscription for individuals
- Any model, including local weights
- Checkpoints and one-click undo on every step
Cons
- JetBrains extension and team management require Enterprise
- Model costs are yours to manage
- More setup than hosted agents
Rank 8
Factory
Model-agnostic coding agents called Droids that plan, build, review and ship code across desktop, terminal, web and CLI.
factory.ai8.3
out of 10
Best for: Larger engineering organizations that need governed, model-agnostic agents with analytics and on-premise options.
Factory sells coding agents to enterprises, and its Droids work across desktop, terminal, web, CLI and SDK as cloud or local background agents. It is model-agnostic, supporting GPT, Claude, Gemini and open-weight models, and can route each task to a model that balances quality, speed and cost. Mission Control shows active missions and execution logs, code review comments on every pull request, and AutoWiki keeps a current wiki for each repository.
Where Factory differs is measurement and governance. The Agent Readiness dashboard scores how ready each repository is for agents, analytics track adoption per developer and team, and Business adds SSO, SCIM, zero data retention, audit logs and model and network policies. Enterprise adds on-premise deployment, data residency and dedicated compute. Pro is $20 a month and Plus $100, but the Teams plan stops at 10 seats, so most organizations will end up talking to sales.
Standout feature
An Agent Readiness score shows how prepared each repository is for agents.
Use cases
Engineering leaders
Track agent adoption per team in Factory analytics
Outcome: Usage and effectiveness data for budget reviews
Regulated companies
Deploy Droids on-premise with data residency
Outcome: Agents that meet compliance requirements
Platform teams
Raise each repo's Agent Readiness score
Outcome: Repositories where agents succeed more often
Key features
- Droids on desktop, CLI and SDK, with cloud and local background agents
- Supports GPT, Claude, Gemini and open-weight models, with automatic model routing
- Mission Control to monitor active missions and execution logs
- Code review on every pull request and AutoWiki for each repository
- Agent Readiness dashboard and per-developer adoption analytics
Pros
- Model-agnostic, so teams are not tied to one lab
- Strong governance on Business: SSO, SCIM, zero data retention, audit logs
- On-premise deployment and data residency on Enterprise
Cons
- No free plan
- Teams plan caps at 10 seats
- Governance features sit behind sales-led tiers
Rank 9
Amp
A coding agent and development environment that gives each agent its own cloud machine, called an orb, so work continues after you close the laptop.
ampcode.com8.2
out of 10
Best for: Developers and small teams who want cloud agents and can bring their own ChatGPT, Claude or API subscription.
Amp is built on the idea that every agent should have its own machine. Each orb is a cloud computer where Amp works remotely, counting minutes only while it runs, so you can send a prompt, close your laptop and check in from your phone. Self-hosted orbs on your own infrastructure are free and do not use orb minutes. Agents can wake themselves on a schedule, which suits jobs such as monitoring a rollout.
Amp's pricing lets you bring your own model subscription. On Hobby, Individual and Teams, linking ChatGPT, Claude or your own API keys means no Amp token fees or limits, and Hobby has no monthly fee at all. Paid Individual tiers start at $20 a month and include orb time and Amp credits. Team workspaces add thread sharing, multiplayer sessions, shared skills, pooled credits and SAML SSO at no extra charge, though SSO needs at least one paid member.
Standout feature
Bring your own ChatGPT or Claude subscription with no Amp token fees.
Use cases
Developers with a Claude or ChatGPT plan
Link the subscription to Amp
Outcome: Cloud agents without paying twice for tokens
Small teams
Share agent threads in a team workspace
Outcome: Teammates can pick up and review each other's sessions
Teams with their own servers
Run self-hosted orbs
Outcome: Agents on internal infrastructure at no orb cost
Key features
- Each agent gets its own orb, a cloud computer that pauses when idle
- Unlimited self-hosted orbs at no charge on Hobby, Individual and Teams
- Use your ChatGPT, Claude or other subscriptions, or your own API keys
- Team thread sharing, multiplayer, shared plugins and skills
- Continue sessions from your phone
Pros
- No Amp token fees when you bring your own subscription or key
- Workspaces for teams have no extra fee
- Zero and minimal data retention for all users, SOC 2 Type 2
Cons
- Orb minutes are an extra cost to track on Hobby
- SAML SSO needs at least one paid member
- Smaller ecosystem than the large-lab agents
Rank 10
Google Jules
Google's asynchronous coding agent that clones your GitHub repo into a cloud VM, plans with Gemini and opens a pull request.
jules.google8.0
out of 10
Best for: Individual developers on GitHub who want a free asynchronous agent for well-scoped tasks.
Jules is the simplest asynchronous agent to start with. You connect GitHub, pick a repository and branch, describe a task, and Jules clones the code into a cloud VM, installs dependencies and proposes a plan you approve before it changes anything. It then shows a diff and creates a pull request. You can also assign work by adding a jules label to a GitHub issue, and it reads an AGENTS.md file to learn your repo's conventions.
Limits are counted in tasks. The free plan gives 15 tasks per rolling 24 hours with 3 running at once, Jules in Pro raises that to 100 and 15, and Jules in Ultra to 300 and 60, with priority access to newer Gemini models. Paid tiers come through Google AI Pro and Ultra subscriptions, which Google says are only available for individual @gmail.com accounts for now. That makes Jules a good free agent for individuals but a hard fit for company-wide rollouts.
Standout feature
The free plan runs 15 tasks a day with plan approval before edits.
Use cases
Open source maintainers
Label an issue jules to hand off a version bump
Outcome: A pull request without opening an editor
Solo developers
Queue several small fixes on the free plan
Outcome: Up to 3 tasks running at once while you work
Developers testing agents
Review a plan before any code changes
Outcome: A low-risk way to try delegated coding
Key features
- Clones the repo into a cloud VM, installs dependencies and edits files
- Generates a plan you approve before any code changes
- Assign tasks with a jules label on a GitHub issue
- Reads AGENTS.md for repo conventions
- REST API, Jules Tools CLI and scheduled tasks
Pros
- Free plan includes 15 tasks a day and 3 concurrent tasks
- Plan approval step before any edit
- Simple GitHub issue label workflow
Cons
- Paid plans only for individual @gmail.com accounts, not Workspace
- GitHub only
- Google calls it an experimental coding agent
Frequently asked questions
+What is the best AI coding agent for teams?
Claude Code scores highest for teams that hand off long, multi-step tasks, from $17 a month billed annually with Claude Pro. GitHub Copilot is the easiest rollout for GitHub teams at $10 a month, and OpenAI Codex is close behind with a $20 per user Business plan.
+What is the difference between a coding agent and a coding assistant?
An assistant suggests code or answers questions while you type. An agent takes a whole task, plans it, edits many files, runs commands and tests, and returns a pull request. Most products on this list also include assistant features, but they are judged here on delegated work.
+Is there a free AI coding agent?
Yes. Cline is open source and free for individuals if you pay for your own model usage, Google Jules has a free plan with 15 tasks a day, and GitHub Copilot, OpenAI Codex, Cursor, Devin and Amp all offer free tiers with limited agent usage.
+Which coding agents run in the cloud while I am offline?
Jules, Devin Cloud, Copilot in the cloud, Codex cloud tasks, Cursor cloud agents on Premium, Amp orbs and Factory background agents all keep working on their own machines after you close your laptop. Cline and the Claude Code CLI can also run headlessly in CI.
+How much do AI coding agents cost for a team?
Per-seat plans range from $10 a month for Copilot Pro to $20 per user for Codex Business and Claude Team standard seats billed annually. Augment charges a flat $20 a month for up to 50 seats, while Factory Teams is $60 a month plus $40 per seat and Devin Teams is $80 a month plus $40 per full seat.
+Can AI coding agents work with GitLab or Bitbucket?
Some can. Devin supports GitHub, GitLab and Bitbucket, Claude Code works with GitHub and GitLab, Augment Cosmos triggers from GitHub and GitLab, and Cline runs in GitLab pipelines. Copilot and Jules are built around GitHub.
About this list
Updated November 9, 2026 by the Mojolin research desk. Mojolin is self-funded
Questions or corrections: editorial@mojolin.com
More best software lists