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Gemini Code Assist
✓ verifiedFreemium
Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.
559K visits/mo
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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Pricing
No public pricing
No public pricing
No public pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Starter: Free forever
Professional: $19 /mo
Core features
- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub integration
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
- ✦Natural language to spreadsheet generation
- ✦Live formulas, charts, and pivot tables
- ✦Automated data integration (Stripe, QuickBooks, Epic, HubSpot, SQL databases, etc.)
- ✦PDF OCR and data extraction
- ✦Smart Context (AI remembers goals, data sources, tasks)
- ✦50+ AI Tools (formatting, data validation, web search, financial APIs, SQL queries)
- ✦HIPAA compliance with BAA available
- ✦Automated data synchronization
- ✦Export to Excel, CSV, or Google Sheets
Use cases
- →Speeding up coding with AI completions
- →Generating code from plain-language prompts
- →Getting in-editor help and explanations
- →Reviewing pull requests with AI
- →Understanding unfamiliar codebases
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
- →Monitor HubSpot sales pipeline performance, track conversion rates, and generate executive summaries.
- →Automate financial reporting by pulling revenue from Stripe, expenses from QuickBooks, and pipeline data from HubSpot to generate MRR dashboards, churn analysis, and investor reports.
- →Perform healthcare data analysis by integrating with EHR/EMR systems like PointClickCare and Epic to pull patient medication data, calculate per-resident P&L, and analyze reimbursements.
- →Convert uploaded invoices (PDFs) into structured spreadsheet data with formulas applied automatically.
- →Query databases like PostgreSQL, MySQL, and Supabase using natural language to populate spreadsheets with live data.
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