GoCodeo
Also known as: GoCodeo, gocodeo.com
IDE native AI coding agent for VS Code and IntelliJ that builds, tests, and deploys full stack apps from a prompt using a multi agent pipeline and MCP tools.
GoCodeo is an AI coding agent that lives inside the IDE, as an extension for Visual Studio Code and IntelliJ, and turns a natural language prompt into a working full stack application. Rather than acting as autocomplete, it scaffolds a project with a sensible file structure, generates front end and back end code across more than twenty five frameworks and languages, and wires up a database and deployment. It can expand a short request into a fuller specification before generating code, and it is organized around a few modules: Ask for chat and debugging, Build for code generation, Checkpoint for saved project state, and Test for automated testing, all reachable from one editor shortcut.
Under the surface GoCodeo runs a multi agent pipeline in which distinct agents plan, build, test, and deploy, passing shared context between stages. A planner parses the request into a specification, a builder generates the application, a critic evaluates quality by running static analysis and test suites and checking architectural constraints, and a deployer provisions hosting and pushes a production build. When the critic finds a failure it hands work back to the builder for self healing edits until the checks pass. Deployment is a headline convenience: with one prompt or one click GoCodeo connects a Supabase backend and ships to Vercel, and it drives Git by initializing repositories, managing commits, and opening pull requests with a link.
Integration breadth comes through the Model Context Protocol, which lets GoCodeo reach more than one hundred external tools including GitHub, Notion, Stripe, and Perplexity, and lets its agents fetch live context, seed databases, raise pull requests, and run end to end workflows. Developers choose the model behind the agent from a set that includes Claude Sonnet, GPT-4o, Gemini, and DeepSeek, with a monthly budget of premium requests and unlimited basic model use. The Checkpoint module records project state, file diffs, and logs with rollback instructions, so a session can be reverted to a known good point rather than unwound by hand, and a lightweight local agent keeps the work grounded by syncing open files, Git diffs, and environment variables.
Testing is one of GoCodeo's strongest draws: it generates production ready unit and integration tests in seconds, runs them in the editor, explains failures, and lets a team set the framework, style, and number of tests per run, then save reusable cases. Its main limits are that GoCodeo is a young product from a small team, its deepest autonomy suits greenfield app building more than large legacy codebases, and it publishes no formal security certification, though it states that it does not store or train on user code and that generated code belongs to the user. Pricing is self serve: a free tier with limited requests, a Pro plan around nineteen dollars a month with five hundred premium model requests plus unlimited basic requests, a Business plan around thirty nine dollars a month, and an enterprise option, with a ten dollar add on for two hundred fifty more premium requests.
Vendor details
Canonical URL
https://www.gocodeo.com
Category
Coding agent
Subcategory
IDE native full stack coding agent
Funding status
Independent. GoCodeo is an early stage startup, reportedly a team of around nine and roughly two years old, and reports use by more than twenty five thousand engineers. Specific funding figures and founder names are not disclosed in available sources.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Runs as an extension in Visual Studio Code and IntelliJ and uses the Model Context Protocol to connect more than one hundred external tools, including GitHub, Notion, Stripe, and Perplexity. Its agents act by generating code, seeding databases, initializing repositories, managing commits, opening pull requests, and deploying apps to Vercel with Supabase backends. Developers choose among models including Claude Sonnet, GPT-4o, Gemini, and DeepSeek. Work is grounded by a local agent that syncs open files, Git diffs, and environment variables.
In practice
You want to stand up a full stack app fast without leaving your editor. You prompt GoCodeo in VS Code, and its agents scaffold the project, generate front and back end code, wire up Supabase, and deploy to Vercel.
You dread writing tests. GoCodeo generates production ready unit and integration tests in seconds, runs them in the editor, explains failures, and lets you set the framework and number of tests, then save reusable cases.
You want your agent to reach the tools you already use. Through the Model Context Protocol GoCodeo connects to more than one hundred tools like GitHub, Notion, and Stripe to fetch context, seed data, and raise pull requests.
Sources & related URLs
Related / legacy domains
Capability coverage
7.5 / 14 capabilities · 54%
| Integrations & Tool CallingUses the Model Context Protocol to connect more than one hundred external tools including GitHub, Notion, Stripe, and Perplexity, integrates natively with Supabase, Vercel, and Git, and acts by raising pull requests, seeding databases, initializing repositories, and deploying apps, broad named integrations with real action across the software lifecycle. | Full |
|---|---|
| Workflow OrchestrationRuns a genuine multi agent pipeline in which a planner, a builder, a critic, and a deployer take a natural language request through specification, code generation, testing, and deployment, passing shared context between stages and looping self healing edits until checks pass, an autonomous end to end orchestration engine. | Full |
| Knowledge Grounding & RAGGrounds code generation in the actual workspace through a local agent that syncs open files, Git diffs, and environment variables, and reasons over project structure with AST level parsing and framework awareness, real context grounding that supports the build workflow rather than being sold as a deep whole codebase index headline. | Partial |
| Human Oversight & GuardrailsKeeps the developer in control through prompt driven direction, in editor review of generated code, and a checkpoint system that can roll a session back to a known good state, real human oversight, though the build to deploy pipeline aims for minimal intervention rather than enforcing a hard runtime guardrail gate. | Partial |
| Security, Identity & GovernanceStates that it does not store or train on user code and that all generated code belongs to the user, a reasonable privacy stance, but publishes no security certification such as SOC 2 and documents no identity or governance matrix with SSO, RBAC, or audit. | Unable to verify |
| Observability & AuditabilityRecords checkpoints that capture project state, file diffs, and system logs at meaningful stages, surfaces pipeline progress across build, test, and deploy, and explains test failures in the editor, visible pipeline and artifact observability short of a comprehensive tracing and analytics suite. | Partial |
| Memory & State PersistenceProvides a first class Checkpoint module that persists project state, file diffs, and rollback instructions so a session can be reverted to a known good point, and passes shared context between its agents across a session, explicit state persistence as a feature rather than only feedback loop adaptation. | Partial |
| Deployment & Data ResidencyDelivered as a cloud backed IDE extension with no self host of the tool itself, but the generated code belongs to the user and lands in the local workspace and the user's own Git repository, deploying to the user's own Vercel and Supabase accounts, a code export and self host the output pattern beyond pure SaaS lock in. | Partial |
| Prebuilt Agents, Templates & PacksShips fully configured project templates and scaffolds across more than twenty five frameworks, prebuilt role agents for planning, building, testing, and deploying, and reusable saved test cases, real templates and agent scaffolding, though closer to starter templates than a large library of prebuilt agents. | Partial |
| Triggers & Channel CoverageIs invoked manually by the developer inside Visual Studio Code or IntelliJ through a prompt or keyboard shortcut, with no documented event triggers such as pull request or schedule based runs and no inbound channels beyond the two editors. | Unable to verify |
| Model Flexibility & RoutingLets the developer choose the model behind the agent from a curated set including Claude Sonnet, GPT-4o, Gemini, and DeepSeek, split into premium and unlimited basic tiers, real model choice, though it is a curated selection rather than a bring your own key or a multi provider routing gateway. | Partial |
| APIs, SDKs & MCP ExtensibilityExposes extensibility through the Model Context Protocol, letting agents connect more than one hundred external tools and MCP servers to fetch context and run workflows, a genuine MCP extensibility surface, though without a documented public platform API or SDK for building on GoCodeo itself. | Partial |
| Testing, Debugging & OptimizationMakes testing a headline capability with a dedicated Test module and a critic agent that generates production ready unit and integration tests in seconds, runs them, performs static analysis, checks architectural constraints, explains failures, and drives self healing fixes, a dedicated testing, debugging, and quality engine. | Full |
| Browser & Computer UseExecutes and tests generated code in the local development environment, diagnoses and fixes failed terminal commands, and provisions deployments to hosting, real code execution and computer use within the IDE and terminal, though not general autonomous browser automation as the core product. | Partial |
Pricing
Free (limited requests) · Pro ~$19/mo (500 premium model requests + unlimited basic) · Business ~$39/mo · Enterprise custom
Per user monthly subscription with a monthly quota of premium model requests and unlimited basic model requests; overage handled by a paid add on. Free tier with limited requests; enterprise custom.
Included quota
Free: limited monthly requests. Pro (~$19/mo): 500 premium model requests per month plus unlimited basic model requests, full build, test, checkpoint, and deploy features. Business (~$39/mo): higher tier for teams. Enterprise: custom. Premium models are GPT-4o, Claude Sonnet 3.5, DeepSeek-R1, and OpenAI o3-mini; basic models are unlimited. A $10 add on grants 250 additional premium model requests for the month on any paid plan. Code is not stored or used for training; users own all generated code.
What is public
The tier names, the free tier, the premium versus basic model request structure, and the ten dollar add on are public and confirmed on the official pricing page. The exact monthly dollar figures for Pro and Business are cited from a third party listing.
Billing mechanics
Per user monthly subscription. Each paid tier includes a monthly premium model request quota (500 on Pro) plus unlimited basic model requests; a ten dollar add on buys 250 more premium requests for the month. Free tier with limited requests.
Cost watchouts
Premium model requests (GPT-4o, Claude Sonnet, DeepSeek, o3-mini) are capped monthly (500 on Pro); heavy use requires a ten dollar add on for 250 more, so cost can climb with intensive premium model usage. Basic model requests are unlimited.
Variable cost rationale
The monthly subscription is predictable, but premium model requests are capped (500 on Pro) and intensive use of the strongest models pushes a user to ten dollar add on packs of 250 requests, so cost scales with how heavily premium models are used. Unlimited basic model requests bound the floor. Exposure is moderate: a predictable base with usage sensitive premium request overage.
Additional watchouts
No formal security certification such as SOC 2 is published. Premium model requests are capped monthly and heavy users will buy add ons. The product is young and from a small team, and its autonomy suits greenfield app building more than large legacy codebases. Cloud backed, so review the privacy stance for sensitive code even though the vendor states it does not store or train on user code.
Overage / add-ons
Premium model requests are capped per month (500 on Pro); exceeding the cap requires a ten dollar add on that grants 250 additional premium model requests for that month. Basic model requests are unlimited and not metered.
Sales call required
No — self-serve available
Free / trial
Free tier with a limited number of requests, intended for evaluation and light use. Paid plans add premium model request quotas and unlimited basic model use.
Lowest paid plan
Pro at approximately nineteen dollars per month: 500 premium model requests per month plus unlimited basic model requests, with the full build, test, checkpoint, and deploy workflow.
Commercial notes
Priced as an affordable, self serve, full lifecycle coding agent that undercuts many IDE assistants while bundling build, test, checkpoint, and deploy. Value is highest for individual developers and small teams doing greenfield full stack work who want autonomous scaffolding, testing, and one click Vercel and Supabase deployment. Multi model access is included rather than requiring a separate model subscription.
Key ambiguities
The exact dollar figures for Pro and Business come from a third party listing and the official page confirms the request structure but not the current price; figures may have shifted. Enterprise pricing is not surfaced.
Cancellation / refund
Monthly self serve plans with a free tier. Add on premium request packs are one time purchases for the month. Specific cancellation and refund terms are not detailed.
Support SLA / resale
Self serve support on paid tiers with an enterprise option for larger teams. The vendor states it does not store or use code for training and collects only anonymized telemetry. No reseller or white label program surfaced.
Missing data
Current exact Pro and Business monthly prices are not confirmed from the official page in this session. Enterprise pricing, seat minimums, and annual discounts are not documented.
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