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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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CodebaseChat
✓ verifiedFreemium
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
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Cody
✓ verifiedPaid
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
245K visits/mo
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Text2SQL
✓ verifiedPaid
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
20K visits/mo14K saves
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LINQ Me Up
✓ verifiedPaid
An AI tool for .NET developers that converts between SQL and LINQ and generates LINQ queries from XML, JSON or POCO data.
1.1K saves
Pricing
Starter: $0 (1 repo, 50 questions/mo)
Pro: $12/mo (10 repos, unlimited questions)
Team: $49/mo (unlimited repos, SSO)
Enterprise: starting at $16K (includes AI feature credits, scales with team size)
Text2SQL.AI: $7.00-$48.00
Text2SQL.AI Pro: $29.00-$228.00
Free trial available
Monthly: $4.99/mo (unlimited conversions, fair use)
Annual: $50/year
Credits: $1 per credit
Free trial available
Core features
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦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
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦SQL-to-LINQ and LINQ-to-SQL conversion
- ✦LINQ generation from XML/JSON/POCO datasets
- ✦C# and Visual Basic, method and query syntax
- ✦AI-based analysis for optimized output
- ✦Does not store user input
Use cases
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →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
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Migrate SQL queries to LINQ quickly
- →Generate LINQ from varied data sources
- →Speed up .NET query writing
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