AI Software Agent
Handyst
Techyst developed Handyst around the way engineering teams already deliver work: describe the change, let the agent operate in an isolated environment, and review a concrete pull request. Open Handyst ↗
Overview
The
gist
Handyst works directly from a code repository and a plain-language task. It explores the existing implementation, edits the required files, runs project commands and tests in an isolated runtime, and prepares changes in a reviewable delivery format.
Problem → fix
Why we
built it
We kept hitting the same annoying problem, so we built the thing we wanted to use.
The product problem
Coding assistants often stop at suggestions or isolated snippets, leaving developers to understand the repository, apply changes across files, run verification, and package the work for review.
What the experience needed
Handyst gives the agent a contained execution environment and an end-to-end software task flow, connecting repository context, file changes, command execution, test feedback, and pull-request delivery.
Capabilities
What we
built
The core product work, feature by feature.
- /001/
Repository exploration and contextual code understanding
- /002/
Multi-file code creation and editing
- /003/
Command, build, lint, and test execution
- /004/
Iteration from real tool and test output
- /005/
Pull-request-oriented delivery
- /006/
Isolated, self-hostable runtime per session
Outcomes
What it
made possible
- ✺A shorter path from requested change to reviewable implementation
- ✺Verification performed inside the same task loop
- ✺Controlled agent execution on infrastructure the organization owns
More work
Keep
scrolling
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Your move
Want one
of these?
If you're building something like Handyst, we'd love to hear about it.