JetBrains AI Assistant
Deeply integrated AI powered by the IntelliJ platform's semantic code understanding.
The AI-driven code assistant for streamlined development and instant technical documentation.
AskCodi, developed by Assistiv AI, is a sophisticated LLM-orchestration platform designed for the 2026 software development lifecycle. By integrating directly into major IDEs like VS Code, IntelliJ, and PyCharm, it acts as a technical co-pilot that transcends simple autocomplete. Its architecture leverages a hybrid model of proprietary fine-tuned engines and industry-leading LLMs to provide context-aware code generation across 50+ programming languages. Unlike generic chat interfaces, AskCodi features 'Workbooks'—an interactive environment that allows developers to maintain state across complex logic flows. As we enter 2026, AskCodi has solidified its position as a specialized alternative to GitHub Copilot by focusing on high-density documentation generation, automated unit test scaffolding, and SQL query optimization. It specifically targets the 'middle-market' of developers who require deep technical explanations and educational breakdowns alongside code generation. The platform's commitment to reducing technical debt through its 'Explain' and 'Time Complexity' features makes it an essential tool for enterprise teams maintaining legacy codebases while transitioning to modern architectures.
A centralized, interactive scratchpad for managing large-scale code logic outside of the editor.
Deeply integrated AI powered by the IntelliJ platform's semantic code understanding.
Build secure, high-performance applications with an AI coding companion integrated directly into the AWS ecosystem.
The open-source autopilot for software development that puts you in control of your models and context.
State-of-the-art bimodal code intelligence for high-fidelity code generation and refinement.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Deep-learning logic mapping that ports code from one language (e.g., COBOL) to modern stacks (e.g., Python/Go).
Natural language to complex SQL query generation with optimization for specific database dialects (Postgres, BigQuery).
Automatic generation of test suites (Jest, Mocha, PyTest) based on function signature and logic.
Algorithmic auditing that provides Big O notation for written code and suggests optimizations.
Parses code blocks to generate JSDoc, Sphinx, or custom Markdown documentation.
Real-time code completion suggestions using RAG (Retrieval-Augmented Generation) on local file paths.
Manually converting jQuery or legacy PHP to React/Node.js is error-prone and slow.
Registry Updated:2/7/2026
Setting up boilerplate for Express or FastAPI takes significant manual effort.
Junior developers often write inefficient SQL joins that crash production databases.