AI-powered code assistant with specialized modes for planning, research, architecture, and building. Supports multiple LLM providers and built to be extensible.
AWS
RunPod
Specialized modes for different development workflows
Answer questions only with read-only access. Perfect for learning about your codebase without making changes.
Analyze codebase structure and create comprehensive plans. Great for architects and project managers.
Investigate specific topics, patterns, or issues. Deep code exploration and analysis.
Design high-level solutions and evaluate architectural decisions. Scalable, maintainable systems.
Write actual code to implement features, fixes, and improvements. The coding workhorse.
Run your own LLMs locally, spin-up RunPod GPUs with ease, or use one of the many supported Cloud-based AI products available and switch between them.
Deep understanding of your codebase with AST parsing, symbol extraction, and intelligent search capabilities.
Don't get locked into one provider - Konstruct works with Local LLMs, OpenAI, Anthropic, AWS Bedrock, Claude, Cursor and RunPod through a flexible provider interface.
Automatically detects project structure and learns your coding patterns, conventions, and rules.
Just choose the files to stage and let Konstruct come up with a commit message for you. See your project's PRs and builds and let Konstruct evaluate the PR or build failures for you!
Store and retrieve project-specific coding patterns, guidelines, and best practices.