Alternatives to Factory AI

Does: reading and writing files, generating code diffs, and running shell commands

Data: Does not train on customer proprietary data; applies data minimization principles

Does: Fei writes, renders, and validates the change and opens a PR; the engineer then clicks approve to ship.

Data: Zero data retention, stated as enforced at the gateway on routed traffic.

Data sent to a connected AI model provider is governed by that provider's own privacy notice, and some providers may use submitted content for trai…

Cursor is a coding agent that runs in the terminal, collaborates in Slack and reviews pull requests in GitHub, distributed as a desktop application with a macOS download. Users can choose between models from OpenAI, Anthropic, Gemini, SpaceXAI and Cursor's own — named as written on the page — or bring their own model; tools and MCP servers are invoked with @, and skills and commands with /. Cursor offers a targeted-edit mode and what it calls a full autonomy agentic version, and always-on agents can be set to run on schedules or triggers to build, maintain and fix software. Agents use their own computers to build, test and demo features end to end for the user to review, which is the only oversight point the page describes and one that comes after the work. Cursor says it is trusted by over half of the Fortune 500. Against that deployment claim, the page checked publishes no certification, no regulatory posture, no retained record of agent actions, no pricing at all, no AI liability cover or indemnity, and no outcome-linked payment term.

An autonomous software-engineering agent. On the page checked it ships pull requests the way a team does, picking up review feedback and CI results to get each PR approved and merged, with a human kept in the loop to manage the project and approve its changes. The vendor describes migration and large refactoring as the work it suits, states it can spin up a team of Devins for large tasks, and lists Cloud, Desktop, CLI, Review and Windows VM surfaces alongside integrations with GitHub, Slack, Snowflake, Databricks, Stripe and others. Nubank is the one named customer; the vendor reports that business units there completed migrations in weeks rather than months, and that it observed a doubling of task-completion scores against its own evaluation set after fine-tuning on examples that customer supplied. That evaluation is the vendor's own, not an independent one. No compliance certification, audit-trail mechanism, insurance, indemnity or outcome-linked pricing appears on the page checked.

GeekBye is a native desktop application for macOS (14.0 Sonoma or later) and Windows that supplies real-time AI answers during video meetings on Google Meet, Microsoft Teams, Zoom, Slack and Webex. The user presses Ctrl+Enter and the tool answers from the screen and conversation, with responses stated to start streaming within 2-3 seconds; live suggestions are presented ready to click rather than executed automatically. It is marketed explicitly on concealment - "Completely invisible and undetectable", hidden from screen recordings, no bots joining calls, "Zero traces" - and is aimed at job seekers in technical interviews, sales staff handling objections, students in oral exams and executives in meetings. The same page also states the vendor "cannot guarantee it is invisible or undetectable in every setup" and advises testing each operating system, meeting app, sharing mode and recording. It transcribes both sides of the conversation in real time and, after a meeting, scores the user's own communication across six metrics with transcript-backed feedback; that is feedback on the user, not disclosure of why the system answered as it did, and the page checked discloses nothing about the latter. On data handling, the page as captured 2026-09-22 states that session material can be kept on the device while AI requests go through GeekBye's authenticated backend, and that newly saved non-video assets are encrypted while videos remain unencrypted; the stronger claim in our 2026-09-08 capture - an encrypted local database and "Nothing is uploaded to cloud servers" - no longer appears on the page. Pricing on that same capture is $24.99 for the first month and $49.99/month thereafter against a $74.99 list price, with a one-time lifetime purchase offered as an alternative to recurring billing; the $149.99/month "Pro" price in our earlier capture has been withdrawn. The page reports "600+ users" and 33 languages as of August 25, 2026. No insurance, indemnity, certification or compliance framework appears on the page checked, and it publishes no prohibited-use terms.

For: developers at the world's most innovative companies

Does: turn your prompts into requirements, architectural designs, and sequenced tasks , then implements them with parallel agents . Property-based tests …

Maige is an open-source AI copilot that labels, assigns, comments on, and reviews GitHub issues and pull requests, used by a reported 4,300+ repositories.

Does: Reads and writes code, executes changes across codebases

Does: Handles coding tasks across marketing, product, operations, and engineering (not just frontend) — landing pages, onboarding flows, internal tools, …

Tools: natural language to control deterministic tools

For: Enterprise (SSO/SAML, BYOK, single-tenant/on-prem deployment, priority support)

As of our capture of refact.ai on 1 August 2026, the homepage carries a banner stating that Refact Cloud - the hosted service - is shutting down soon; the open-source, self-hosted build is not said on that page to be affected, and the pricing and hosted-tier facts below should be read with that in mind. Refact.ai is a coding agent that runs inside the developer's IDE, working against their codebase and stack; the vendor says it plans, executes and deploys from a described task, completing work step by step with reasoning the user can preview and control. It is powered by the Qwen2.5-Coder model with retrieval-augmented generation, and customers can use Claude 4, GPT-4o or GPT-4o mini, or connect their own API key to run Gemini, Grok, OpenAI or Deepseek models, and fine-tune on their own stack. Plugins are published for VS Code, JetBrains IDEs (PyCharm, WebStorm, GoLand, IntelliJ, CLion), Visual Studio, Neovim and Sublime Text, several marked beta. The Pro tier starts at $10 per month, and on-premise deployment is offered as the data-control option. The homepage headline calls the product open source but names no licence on the page checked. Beyond that, Refact.ai publishes little a buyer could rely on: no certification, no regulatory posture, no retained record of agent actions, no AI liability cover or indemnity, and no outcome-linked payment term. It scores 0 on four of the five trust-gap dimensions and 1 on the fifth.

Currency caveat: the only capture AI Dispatch holds of usetusk.ai is from 1 August 2026. That page markets the product normally and also lists, among the company's own resources, a post titled "Tusk Is Sunsetting" dated June 10, 2026. AI Dispatch has not verified from a fresh capture whether the product, or which part of it, is still offered, and the fields below should be read as a record of that 1 August capture rather than as current terms.

Agentic software development platform. Agents are triggered by an issue, a chat message or a schedule and coordinated from triage through review to a mergeable pull request, with a screenshot or video captured per run so work can be verified before a PR ships. Runs on Warp's cloud or fully self-hosted in the customer's own VPC, and is model-agnostic: customers bring their own model or harness. Exposed as a platform via API, CLI, SDK and MCP. Pricing is usage-based per agent run. The vendor claims over 800,000 developers and states that most organisations start with 20-30% of pull requests fully automated. Its terminal product is open source. No certification, regulatory alignment, insurance or indemnity is published on the page checked.