Op
★★★★★

OpenCode AI

AI-powered coding assistant that generates, reviews and refactors code from prompts, integrates with GitHub and VS Code, automates PRs, testing and documentation.

Last Update: 2025-08-26
Monthly visits: 120k
OpenCode AI
1 📄

Tool Information

About OpenCode AI

OpenCode AI — AI assistant for software development

OpenCode AI is an AI-driven development platform that helps engineers and teams generate, review, refactor, and document code faster. It leverages large language models to understand codebases, propose changes, automate pull requests, and integrate with developer tools to accelerate delivery.

Key features

  • AI code generation — Generate new components, functions, or modules from plain-language prompts.
  • Code review & refactoring — Automated suggestions for improvements, bug fixes, and style conformity.
  • Pull request automation — Create PRs with proposed changes, including test updates and changelogs.
  • Context-aware completions — Use repository context to produce accurate, relevant code snippets and completions.
  • Multi-language support — Works across common languages (JavaScript/TypeScript, Python, Java, Go, etc.).
  • Integrations — Connect with GitHub/GitLab, VS Code, CI systems, and team chat tools.
  • Documentation & tests — Generate docs, inline comments, and unit/integration test scaffolding.
  • CLI & API — Automate workflows with a command-line tool or REST/GraphQL API.

How it works

OpenCode AI analyzes your repository (optionally via a connected Git provider), builds an understanding of code structure and dependencies, and uses LLM-powered engines to generate suggested code changes. You review and accept changes in the UI or directly through a pull request workflow.

Integrations

  • GitHub & GitLab for repo access and PR automation
  • VS Code extension for in-editor completions and actions
  • CI/CD integrations to run generated tests and linting pipelines
  • Slack / Teams for notifications and approvals

Benefits

  • Speed — Reduce boilerplate and routine tasks so engineers focus on high-value work.
  • Consistency — Enforce style and patterns across the codebase through automated suggestions.
  • Collaboration — Create clear PRs and diffs that improve review throughput.
  • Onboarding — Help new developers ramp up faster with context-aware examples and docs.

Who is it for?

OpenCode AI is suited for individual developers, engineering teams, and organizations looking to augment developer productivity, standardize code quality, and reduce time spent on repetitive tasks.

Pricing & plans

OpenCode AI typically offers a free tier for basic usage and paid plans for teams and enterprise features. Paid plans commonly include higher usage limits, private model support, and advanced integrations.

Security & privacy

The platform provides configurable repository access, role-based permissions, and options to keep data private (on-premise or VPC deployments may be available for enterprise customers). Always verify the provider's security documentation and compliance certifications for production-sensitive projects.

Limitations

  • AI suggestions may require human review — not all generated code is production-ready.
  • Effectiveness depends on repository size, structure, and prompt quality.
  • Advanced features (private deployments, enterprise SLAs) may be gated behind higher-tier plans.

Getting started

  1. Create an account on the OpenCode AI website and connect your Git provider.
  2. Install the VS Code extension or CLI for in-editor and local workflows.
  3. Run an analysis on your repository, then try generating a component or opening an AI-assisted PR.

Note: This summary highlights typical capabilities for AI-driven developer platforms. For exact feature details, supported languages, pricing tiers, and enterprise options, consult OpenCode AI's official documentation and terms on their website.

Key Features

Generate new components, modules, and functions from natural-language prompts
Create pull requests with suggested code changes and tests
Refactor code to improve readability and maintainability
Auto-generate unit and integration test scaffolding
Produce documentation, inline comments, and changelogs
Run repository analysis and suggest architecture improvements
Integrate with CI/CD to run generated tests and linting
Provide code explanations and onboarding examples for new team members

F.A.Q

OpenCode AI typically supports major languages such as JavaScript/TypeScript, Python, Java, Go, and others. Support varies by feature (generation, testing, refactorings), so check the docs for specifics.
Yes — the platform commonly integrates with GitHub/GitLab for repo access and offers a VS Code extension and/or CLI for in-editor workflows and local automation.
OpenCode AI generally offers a free tier or trial so you can evaluate basic features. Paid plans unlock higher usage limits, team management, and enterprise controls.
The platform usually provides configurable access controls and privacy options. For sensitive or regulated environments, enterprise offerings often include private deployments or VPC hosting — review their security documentation and contract terms.
No. OpenCode AI is designed to augment developers by automating repetitive tasks and surfacing suggestions. Human review and engineering judgment remain essential for correctness, architecture, and production readiness.

Pros and Cons

Pros

  • + Speeds up common development tasks like scaffolding, tests, and docs
  • + Automates pull requests and code reviews to improve team throughput
  • + Integrates with popular developer tools and CI/CD pipelines
  • + Context-aware outputs using repository analysis
  • + Provides CLI and editor integrations for flexible workflows

Cons

  • AI-generated code often requires human review before production use
  • Advanced or enterprise features may be expensive or require negotiation
  • Effectiveness varies with codebase quality and prompt clarity
  • Potential security concerns for sensitive repositories — verify privacy options

Reviews

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Overview

Pricing
$29.00 /per month
Monthly Traffic
120k
Category
AI Coder
Status
Active

Applicable Tasks

Generate new components, modules, and functions from natural-language prompts Create pull requests with suggested code changes and tests Refactor code to improve readability and maintainability Auto-generate unit and integration test scaffolding Produce documentation, inline comments, and changelogs Run repository analysis and suggest architecture improvements

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