lazygit
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
Transform natural language into complex SQL queries in seconds with AI-driven database intelligence.
AIQuery is a sophisticated SQL generation and optimization platform designed to bridge the gap between natural language intent and complex relational database logic. Leveraging advanced Large Language Models (LLMs) specifically fine-tuned for structured query languages, AIQuery enables both non-technical business analysts and seasoned developers to interact with databases without manual syntax overhead. In the 2026 landscape, AIQuery distinguishes itself through its multi-dialect support—spanning PostgreSQL, MySQL, MariaDB, SQL Server, and MongoDB—and its ability to ingest database schemas for context-aware query generation. The platform's technical architecture emphasizes security, utilizing zero-trust schema scanning where users can provide DDL (Data Definition Language) structures without granting direct access to sensitive raw data. This approach allows for the generation of highly accurate JOINs, nested subqueries, and window functions that reflect the actual business logic of the user's infrastructure. Positioned as a mission-critical productivity multiplier, AIQuery reduces the time-to-insight for data-driven organizations by automating the most labor-intensive aspects of query writing, debugging, and cross-dialect translation.
Allows users to upload database DDL files so the AI understands table relationships, foreign keys, and column types.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
The version-controlled prompt registry for professional LLM orchestration.
The Developer-First Workflow-as-Code Platform for Orchestrating Human and Machine Tasks.
A command-line task runner that eliminates the syntax debt of Make for modern software engineering.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Engine for converting SQL code between MySQL, PostgreSQL, MS SQL, and MariaDB while maintaining functional parity.
A recursive parser that breaks down complex queries into a step-by-step narrative for non-technical stakeholders.
Translates MongoDB aggregation pipelines into standard SQL and vice-versa.
Injects an AIQuery interface directly into web-based DB managers like phpMyAdmin, Snowflake, and BigQuery.
A centralized, version-controlled repository for team queries with tagging and search capabilities.
Enterprise-grade toggle that ensures query text and schema metadata are not stored or used for model training.
A marketing manager needs to calculate Churn Rate by region but doesn't know how to write complex SQL JOINs.
Registry Updated:2/7/2026
A developer inherits a 500-line SQL script and needs to understand its logic before refactoring.
Converting a MySQL application to PostgreSQL requires rewriting all database-specific syntax.