OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Coding Agents

Devseeker

Devseeker is an open-source Python command-line coding agent that uses prompts to generate projects, edit repository files, review changes and run code files. It includes standard, improve, clarify, lite and self-heal modes, with configuration for an OpenAI API key, project paths and build-related commands.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Devseeker — OpenViST project profile in Coding Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Devseeker when a project or repository can be worked on through a command-line prompt workflow and you want generation, file selection, diff review or mode-specific iteration in one tool.

Who it is for

  • Developers generating software from written specifications
  • Repository maintainers reviewing AI-proposed code changes
  • CLI users who need multiple coding workflows

Documented uses

  • Generate a project from a prompt
  • Modify selected files in an existing project
  • Review proposed additions and removals in a diff view
  • Discuss requirements before implementation
  • Run generated or edited code files
Before you choose

Requirements & limits

The repository is publicly accessible and lists an MIT license. The documented setup requires an OpenAI API key.

  • It is a CLI tool rather than a browser-based coding workspace.
  • Improve mode provides file selection and a diff review before changes are applied.
  • A project-level devseeker.toml file can define build, test, lint and base-path settings.
  • The documented default model is gpt-4o, with model selection and an Azure OpenAI endpoint option.
  • Self-Heal mode is available for attempting automatic fixes after execution failures.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Devseeker for a project

Install the CLI and configure the API connection and project-level workflow settings.

Before you start

  • Python package installation through pip, or a development checkout using Git and Poetry.
  • An OpenAI API key.
  • A project directory if using a .env or devseeker.toml configuration file.

Steps

  1. Install the package with pip, or clone the repository and install its Poetry-managed development environment.

  2. Provide the OpenAI API key through the OPENAI_API_KEY environment variable, a .env file, or custom configuration.

  3. Optionally create devseeker.toml to define build, test, lint and base-path settings.

Expected outcome

Devseeker is installed and its documented API and project configuration points are prepared.

Guide limitations

  • This setup sequence does not establish that a particular model, project or command will execute successfully.
  • The documented configuration requires an OpenAI API key for the standard setup.
Documentation 1 ↗
Source-based practical guide

Prepare a new project from a prompt

Create the documented input structure for generating a new project.

Before you start

  • An empty project directory.
  • A file named prompt containing the project instructions.
  • Devseeker installed and configured with an OpenAI API key.

Steps

  1. Create an empty directory for the project.

  2. Add a file named prompt containing the instructions.

  3. Run Devseeker against the project directory.

  4. Review the generated files and the prompt to execute the generated code.

Expected outcome

Devseeker generates code files and an entrypoint from the written description, then presents an execution choice.

Guide limitations

  • The documented flow describes generation and an execution prompt but does not provide a result guarantee or project-specific compatibility information.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
DevseekerGenerate a project from a promptCLIThe repository is publicly accessible and lists an MIT license. The documented setup requires an OpenAI API key.
LlmcodeInspect a project's directory structure with `/tree`.CLIThe documented setup requires an API key and supports an API base URL and model setting. The project is open source under Apache-2.0.
Klaat CodeOpen a project directory for terminal-based coding assistance.CLI, ServerThe README provides a global npm installation command and documents browser sign-in with a KlaatAI account. It also identifies the repository as open source under Apache 2.0.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
4 October 2026
Original website title
iBz-04/Devseeker · Official homepage title · retained in its source language
How we review sourcesSuggest a correction