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Autonomous Agents Ide Copilots AI Code Assistants Terminal Cli Full Ide Ide Copilots Coding Assistants Copilots Software Development

Cody

✓ verifiedPaid

Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.

245K visits/mo

MarsCode

✓ verifiedFree

AI-powered IDE with code completion, generation, explanation and debugging, plus a cloud dev environment, for developers.

69K visits/mo

CodeGPT

✓ verifiedFreemium

IDE coding assistant for VS Code and JetBrains that uses your own API keys across 15+ model providers, with agentic mode and autocomplete.

262K visits/mo

Workik

✓ verifiedFreemium

AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

210K visits/mo

Warp AI

✓ verifiedFreemium

Agentic terminal and cloud agent platform (Warp Terminal, Warp Agent, Oz) for developers orchestrating Claude Code, Codex, and other agents.

1.7M visits/mo22K saves

Pricing

Enterprise: starting at $16K (includes AI feature credits, scales with team size)

No public pricing

Free: $0/mo (BYOK, 30 free interactions)

AutoComplete Add-on / BYOK Pro: $8/mo per seat ($6.67 annual)

Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)

Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)

Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)

Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)

Tailored: $62/month (custom AI token allocation)

Free trial available

Free: $0/month (core terminal, limited cloud agent access)

Build: from $20/month pay-as-you-go (1,500 credits/month)

Max: from $200/month pay-as-you-go (12x Build credits)

Business: from $50/user/month (up to 25 seats)

Core features

✦Codebase-aware developer chat
✦AI code completions and inline edits
✦Customizable and shareable prompts
✦Automatic bug identification and debugging help
✦Context filters to exclude sensitive repos
✦Integrates with major code hosts and IDEs

✦AI code completion and snippet generation
✦Natural-language code generation
✦Code explanation and AI Q&A
✦Automated bug detection and fixes
✦Zero-config cloud development environment
✦Project creation from templates or Git

✦BYOK access to 15+ model providers
✦Agentic planning-then-build mode
✦AI autocomplete
✦MCP connections to external systems
✦Custom rules and live context tracking
✦Local models via Ollama/LM Studio
✦VS Code and JetBrains plugins

✦Automatic context-gathering from connected engineering sources
✦AI-generated code, tests and pull requests from tickets
✦Task planning that breaks complex work into subtasks
✦Auto-updating engineering documentation
✦Vector search over embedded project data
✦Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
✦Engineering productivity analytics dashboard

✦Modern terminal rebuilt for agentic coding workflows
✦Warp Agent with multi-agent orchestration and model routing
✦Oz platform for launching agents into the cloud via SDK, CLI, or terminal
✦Codebase indexing and granular permission controls
✦Team-wide usage visibility and spend/credit caps
✦Open-source terminal core

Use cases

→Engineers asking questions about an unfamiliar large codebase
→Teams standardizing common coding tasks with shared prompts
→Developers debugging errors faster with AI-assisted context
→Enterprises running large-scale code migrations

→Writing and completing code faster with AI
→Onboarding to unfamiliar codebases
→Debugging and optimizing code
→Spinning up dev environments in the browser

→Code generation, refactoring and debugging
→Control AI spend with your own keys
→Switch between frontier models per task
→Keep code private and data-sovereign

→Engineering teams automating ticket-to-PR workflows
→Developers wanting AI-assisted debugging and test generation
→Engineering managers tracking AI-driven productivity gains
→Teams centralizing documentation from scattered sources

→Developers who want an AI-assisted terminal for daily coding
→Teams orchestrating multiple coding agents (Claude Code, Codex) together
→Engineering orgs needing governance over agent-driven development
→Companies moving agent workflows from local machines to the cloud

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