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 — and your codebase as a connected system, not files pasted into a chat window. Konstruct maps structure, symbols, and intent across your project so assistants stay accurate and useful. Focus on delivering value, not wrangling context.
Cursor
Gemini
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, Python, Java, Clojure, Ruby, Zig, C#, and Rust, with more languages coming. 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.
Refine the plan into a precise implementation blueprint—file-level changes, API contracts, and data shapes—so assistants have unambiguous targets.
Execute the blueprint: features, fixes, and refactors grounded in your designs and following the plan of action you created.
Watch how Konstruct maps your codebase, co-designs new functionality, debugs issues, and helps you pair program with AI. AI Debugger and Dependency features are Konstruct Pro features.
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 or use any of the supported cloud providers—and switch between them at any time without losing your work.
Structure-aware indexing with AST parsing, symbol extraction, and semantic search across all your project repositories—giving agents a connected view of your codebase.
A structured workflow from Ideation through Design, Plan, Blueprint, and Build. Each stage gives assistants the clarity and context they need to execute accurately.
Agent-assisted failure analysis, root-cause tracing, and suggested fixes you can review and ship. A Konstruct Pro feature.
Work alongside AI assistants in structured sessions grounded in your project's context, designs, and conventions—not a generic chat window.
Don't get locked into one provider—Konstruct works with local LLMs, OpenAI, Anthropic, Google Gemini, AWS Bedrock, Cursor, Ollama, and more through a flexible provider interface.
Automatically detects project structure and learns your coding patterns, conventions, and rules so assistants stay consistent with your codebase.
View diffs, stage changes, and commit across your project repositories. Konstruct automatically generates relevant commit messages based on staged changes.
Store and retrieve project-specific coding patterns, guidelines, and best practices so every assistant session starts with the right context.
Every feature in Konstruct is available on the free tier. Konstruct Pro removes usage caps and unlocks a small number of advanced features. No features are paywalled — try everything before you decide to upgrade.