Ideation
Capture goals, constraints, and rough ideas in one place so you start from a shared picture—not a blank chat.
AI-powered assistants that understand your product from idea to code, letting you focus on delivering value.
Cursor
AWS
RunPod
AI works best with clear definitions, accurate data, and direct instructions. Konstruct helps you with those as you capture ideas, designs, and plans—so assistants get the clarity and context they need to execute well.
The Code Graph combines structure-aware indexing with semantic search so you can explore and query your codebase with precision. Indexing and graph analysis currently cover Go, TypeScript, and Python, with more languages on the way. In a single workspace, Konstruct can index and map your project across multiple repositories, giving assistants one connected view of how your system fits together.
That connected view helps assistants better understand your code and your project, giving them the context they need to be more effective and accurate.
Capture goals, constraints, and rough ideas in one place so you start from a shared picture—not a blank chat.
Turn fuzzy intent into concrete designs: flows, boundaries, and tradeoffs your team can review before anyone writes code.
Break designs into ordered, specific steps assistants can follow, helping to answer open questions they have about the design—clear scope, fewer wrong assumptions.
Execute the plan: features, fixes, and refactors grounded in the designs and following the plan of action you created.
Some of the capabilities in this section may require a Konstruct Pro license in the app. See Free vs. Pro below for more detail.
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.
Stage files, craft commit messages, and work with your repo locally. View pull requests across your project's repositories and get Konstruct's guidance on what to look for and overall quality.
Store and retrieve project-specific coding patterns, guidelines, and best practices.
Each project pairs with a small workspace-daemon that runs next to your sources. The same design works on your laptop, inside dev containers, or on remote VMs over SSH, so shells, search, graphs, git, and file operations stay routed through the workspace instead of ad-hoc host access. Helps reduce agent access to files outside of your project, limiting the blast radius of a mistake.