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Compare/Jules vs no_human

Julesvsno_human

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Jules
Google · Autonomous SWE
#141MCP
Panel
5.7
4 spec wins
Reliability
5.3
Usefulness
5.8
Cost
6.3
Longevity
5.3

“Fifteen free tasks a day, as long as you are over 18 and using a personal Gmail rather than the company account.”

no_human
no_human · Autonomous SWE
#95OSSMCP
Panel
6.2
6 spec wins
Reliability
5.7
Usefulness
6.5
Cost
6.8
Longevity
5.8

“It runs an AI coding factory on your own machine, which is a stately way to describe the noise your laptop fan now makes.”

Spec by spec

SpecJulesno_human
Architecture
CategoryAutonomous SWEAutonomous SWE
Runscloud, sandboxlocal
Platformsweb, macos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesNo
MCP serverNoYes
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesThe default VM image includes Playwright and chromedriver, and Jules renders a front end and returns screenshots to verify its work (https://jules.google/docs/environment). No
Sandboxed executionYesEach task gets a secure, short-lived Ubuntu VM with internet access (https://jules.google/docs/environment). No
Multi-agent orchestrationNoYesEach task runs a coder and then a separate adversarial reviewer model that never saw the coder's session, and several tasks run at once.
Headless / CI modeYesScriptable through `jules remote new --repo ... --session "..."` and the REST API (https://jules.google/docs/cli/reference). No
Models
BackboneGemini 3 Flash, Gemini 3.1 Proany
Bring your own modelNoJules runs only on Google-hosted Gemini models; there is no provider picker, custom base URL, gateway or cloud deployment of your own. Yes
Local modelsNoTasks run in a Google-hosted VM with no configurable model endpoint, so no local LLM can be used. No
Cost
Pricing modelsubscriptionbyok
Starts at$19.99/mo$0/mo
Free tierYesYes
Bring your own keyNoAccess comes from a Google AI plan; no Gemini API key or Google Cloud project of your own can be attached. Yes
Openness
Open sourceNoYes
LicenseproprietaryMIT
GitHub starsn/a328

Which one would each critic pick

CriticJulesno_humanPick
El Juez——not enough reviews
El Amigo6.86.5Jules — Use Jules for the backlog you never get to, fifteen free tasks a day on a personal Google account, and do not adopt it as a team tool because the paid plans do not accept business accounts yet.
El Crítico6.35.5Jules — Jules runs your repo in a VM you cannot inspect on a model you cannot choose, and the failure mode is a pull request built on an environment that never installed correctly.
El Profesor6.36.8no_human — The reviewer is a different model in a session that never saw the coder's work, instructed to refute completion rather than to assess it.
La Inversora6.06.0no preference
La Jefa4.85.3no_human — It does not run headless, so sixty developers each run the loop on a laptop under their own credentials and nothing opens a pull request I can attribute.
El Hacker4.37.3no_human — It ships an MCP stdio server on the official Python SDK, so my existing agent files a task with task_add and gets the whole loop behind it.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.