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.
Execute the plan: features, fixes, and refactors grounded in the designs and following the plan of action you created.
Build Sandbox keeps agent verification inside build steps your team defines and checks into git. Instead of improvising shell commands, agents can run only the lint, test, and build work you have already approved for each repository. You decide what those steps mean—Konstruct executes them in the order you specify, and nothing else.
dependencies:
build:
- node:20
build_targets:
- name: lint
commands:
- npm run lint
- name: test
commands:
- npm test
require_targets:
- lint
- name: build
commands:
- npm run build
require_targets:
- test
Agents also get Starlark—a small, Python-like language designed for safe automation. They can write scripts they find useful for batch workspace probes, git checks, and glue logic, then rerun them through the workspace daemon without improvising shell commands or touching the host.
open(), and no escaping the workspace boundary.def main(args): once; Konstruct invokes it automatically. Perfect for reusable checks agents want to keep around.def main(args):
go_files = workspace.glob("**/*.go")
tests = workspace.glob("**/*_test.go")
log.info("Go sources: %d" % len(go_files))
return {
"go_files": len(go_files),
"test_files": len(tests),
}
Watch how Konstruct maps your codebase, co-designs new functionality, hardens security, and debugs with AI assistance. Debugger, Security Reviews, and Dependencies 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, 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.
You define which lint, test, and build steps agents may run—checked into git and executed in toolchains Konstruct installs and isolates automatically, not improvised shell commands.
Agents compose small Starlark programs for batch workspace checks and glue logic—sandboxed in the workspace daemon with curated APIs, hard resource limits, and no way to escape your project or run arbitrary host commands.
Don't get locked into one provider - Konstruct works with Local LLMs, OpenAI, Anthropic, Google Gemini, 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, file operations, and sandboxed Starlark scripts stay routed through the workspace instead of ad-hoc host access. Agents get useful automation without the freedom to escape your project boundary or run whatever they want on your machine.