GitKraken Kepler Tutorial: Mastering the Agentic Development Environment (ADE)

GitKraken Kepler Tutorial: What Is It and How Does an ADE Work?

Developers often wonder what GitKraken Kepler does when they manage distributed codebases. The GitKraken Kepler ADE coordinates your autonomous tools inside an isolated workspace. It wraps task orchestration around your tools, so you never lose control of changes. This platform delivers a strong Agentic Development Environment for teams working on modern enterprise projects. It gives you seamless multi-repository context management for complex codebases. You can now delegate tough coding jobs without worrying about branch conflicts or lost context.

Understanding Agentic Development Environment (ADE) vs Traditional Git GUI

When you compare GitKraken Kepler to traditional Git GUI tools, the differences stand out fast. An Agentic Development Environment coordinates autonomous coding tools, instead of just staging local commits. You set the high-level project goals, and smart agents write the code changes across repositories.

Managing Multi-Repository Context for Coding Agents

Learning to manage multiple git repositories with Kepler ends frustrating context switching between projects. The engine feeds deep repository-level context straight to active agents. This setup keeps code changes consistent across microservices, with no manual work or broken upstream dependencies.

Installation and Environment Setup Checklist

You can master how to set up GitKraken Kepler step by step, on every major operating system. Start by grabbing the official GitKraken Kepler download package. The setup wizard checks your local dev environment and preps your machine for agent automation.

Before you launch the software, check the GitKraken Kepler system requirements to dodge performance issues. Review the official GitKraken Kepler documentation for platform dependencies. A properly configured environment keeps execution smooth during heavy multi-agent coding sessions.

System Requirements and Platform Installers (macOS, Windows, Linux)

Follow the Kepler macOS setup guide, or grab the GitKraken Kepler Windows installer. Linux users can install packages with the Kepler Linux installer archive. Each installer preps background services and checks your terminal tools for smooth coding sessions.

Signing in with GitKraken and Initial Onboarding

This part of the GitKraken Kepler Tutorial covers your first account authentication step. Complete your GitKraken Kepler provider credentials setup to unlock shared workspaces. You can also check GitKraken Kepler pricing and plans to pick enterprise features for your team.

Connecting Providers and Issue Tracker Integrations

You can easily connect Jira issues to GitKraken Kepler to speed up sprint work. The platform keeps a real-time, two-way issue tracker sync with your task boards. This bridge turns static user stories into active development tasks, right inside your workspace. Engineering leads often ask if GitKraken Kepler is free for small open-source teams. GitKraken offers accessible tiers alongside strong enterprise features. Connecting your issue boards helps you speed up task execution and cut manual tracking work across sprints.

Integrating GitHub, GitLab, and Jira Trackers

Turn on steady GitHub issue sync, and connect your GitLab repositories to Kepler today. Your linked issue boards refresh project backlogs automatically, right inside the main interface. This direct link gives you clean traceability, from the first bug report to the final pull request.

Populating and Organizing the Kepler Todo View

Mastering the Todo View gives you structured task management across several active projects. The organized dashboard shows backlog tickets and pull requests clearly. You can prioritize incoming work fast, so your team stays focused on the features that matter most.

Connecting and Configuring AI Agent Integrations

Discover how to connect coding agents in Kepler, using standard developer settings. The environment links directly to your favorite AI coding assistant. It works as a flexible agentic IDE alternative that boosts your existing terminal tools. Every autonomous coding agent needs secure permissions to write code safely inside your projects. Store your private GitKraken Kepler API keys inside the credential vault. This setup gives you smooth agent authorization, while keeping strong security across every repository.

Supported Coding Agents and API Setup

Connect popular autonomous models through the built-in AI code generator settings. You can pair Claude Code, OpenAI Codex CLI, or Cursor agents, with no complex setup. The platform finds your local CLI installs automatically and links them to your active projects.

Managing Provider Credentials and Permissions

Keep your agent operations secure with strict workspace isolation policies. Kepler stores sensitive API tokens locally, in encrypted form. This approach stops accidental token leaks and protects private enterprise repositories during automated code generation.

Creating and Managing Tasks in Kepler

This section of the GitKraken Kepler Tutorial walks you through everyday task orchestration. Smart AI agent task delegation in GitKraken keeps your development speed high. You hand off tough problems to specialized agents, while you keep full oversight of the code. Task-driven software engineering changes how teams tackle backlog work. The system treats each task as its own unit, with a custom prompt and branch reference. This structure lets you track progress clearly, from the first idea to the merged pull request.

Starting Tracked Tasks Directly from Issues and PRs

Turn backlog tickets into tracked coding assignments with one click. Kepler pulls in project requirements automatically to guide the agentic workflow. Your agents get the full issue description and start writing code, with no extra prompting from you.

Creating Untracked Standalone Tasks with Shift+Alt+T

Learn how to create untracked tasks in Kepler for quick tests. Press the keyboard shortcut, and an untracked task session starts right away. This sandbox works well for testing new ideas, without cluttering your public project issue board.

Working with Automated Worktrees and Repo Commands

Learning to set up isolated git worktrees in Kepler protects your main branch. The app uses Kepler worktrees to keep concurrent code changes separate. You can experiment freely across branches, with no merge conflicts or a messy working directory. Developers gain a lot from native worktree automation during tough refactoring work. The engine builds isolated folders for every active task across linked repos. This sandboxed setup makes sure automated tools work safely, without touching your ongoing manual work.

+-------------------------------------------------------------+

|                     Kepler Task Manager                     |

+-------------------------------------------------------------+

                              |

       +----------------------+----------------------+

       v                                             v

+-----------------------------+               +-----------------------------+

|   Task A: Worktree Sandbox  |               |   Task B: Worktree Sandbox  |

|   Repo 1: /worktree/feature |               |   Repo 1: /worktree/bugfix  |

|   Agent: Claude Code        |               |   Agent: Codex CLI          |

+-----------------------------+               +-----------------------------+

Automatic Isolated Worktree Provisioning

Kepler enforces isolated branch sandboxing by spinning up fresh worktrees automatically for each task. Agents write and test code only inside these dedicated task folders. Your main branch stays untouched until you check and approve the finished changes.

Configuring Setup, Install, and Build Commands

Learn how to run setup and build commands in Kepler with ease. Set your standard startup scripts in the Kepler build command menu. The platform runs install scripts on its own, to build a ready environment for every new worktree.

Directing Live Agent Sessions and Using Actions

Learn how to steer live AI coding sessions with simple action buttons and prompts. The Kepler prompt interface lets you guide active agent sessions in real time. You can review the logic, pause the work, or redirect the strategy without a restart. Prompt-based code steering makes sure the finished code fits your architecture. You give quick feedback whenever an agent picks an inefficient path. This human-in-the-loop workflow keeps code quality high across every project milestone.

Default Action Workflows (Plan, Review, Address Feedback)

Use pre-built actions to cut down repeat development work. These built-in workflows trigger automated code review and unit test creation. You can pick standard templates to plan big architectures, or to answer pull request comments fast.

Steering Agents Mid-Session via Prompts and Voice Input

Get hands-free control with voice commands in GitKraken Kepler. The built-in voice prompt system turns spoken words into clear instructions. You can guide tricky refactoring work out loud, while you check code diffs on your main screen.

Visualizing Parallel Work with the Agent Graph

You can learn how to run parallel coding agents in GitKraken with ease. The interactive multi-agent execution graph shows concurrent agent work across your repos. It gives engineering leads full visibility into active tasks, branch links, and async progress. This GitKraken Kepler Tutorial shows how well concurrent workers perform. Multi-agent orchestration lets your team fix bugs and build features at the same time. You cut development delays by handing off separate backlog items to autonomous agents that run in parallel.

+-------------------------------------------------------------+

|                 Multi-Agent Execution Graph                 |

+-------------------------------------------------------------+

|  [Repo: Auth-Service]   -->  Branch: feature/oauth2         |

|  [Repo: Web-Client]     -->  Branch: feature/login-ui       |

|  Status: Parallel Execution Active (2 Agents Running)       |

+-------------------------------------------------------------+

Monitoring Multi-Agent Execution in Real Time

Track parallel progress as you monitor agent progress in real time. The graph panel shows active background sessions and terminal output. You get instant feedback, so you can catch failed builds or test regressions fast.

Managing Branch Dependencies Across Multiple Repositories

Advanced multi-repo branch visualization makes complex, multi-service projects simple. The dashboard enforces structured branch dependency management across linked repos. This clear view stops integration errors when you ship features that span microservices and shared libraries.

Reviewing AI Changes and Merging Pull Requests

Learn how to review AI-generated diffs in Kepler before you merge changes into shared branches. The code diff review screen highlights line-by-line additions and deletions clearly. You check every change closely, so only solid code reaches your pipelines.

Engineers can automate pull request creation with AI agents to lift team output. The built-in automated pull request generator drafts clear descriptions on its own. This automation saves real engineering hours, while it keeps your change history clean.

Inspecting Agent-Generated Diffs in the Task View

Run fast diff inspection right inside the unified Task View. The visual diff viewer color-codes updates and highlights syntax changes cleanly. You can accept single hunks, or ask for changes before you commit the work upstream.

Pushing Verified Changes and Opening Pull Requests

Use smart AI pull request generation to document tricky code changes on its own. Kepler formats commit messages and opens pull requests on your remote host. This smooth handoff keeps team collaboration easy and reviews fast.

Remote Environments and Headless Kepler Control

You can set up remote cloud workspace integration with Kepler for distributed teams. A connected GitKraken cloud workspace runs heavy background agents, without using your local CPU. Your team stays productive, whether working from home or the office. Running a persistent headless Kepler session lets agents work unattended on remote servers. This headless environment runs tests and builds code inside cloud containers. You can trigger tasks remotely and check the results whenever it suits you.

+-------------------------------------------------------------+

|               Headless Cloud Delivery Pipeline              |

+-------------------------------------------------------------+

| Local Kepler UI  -->  Remote Cloud Workspace  --> CI/CD Bot |

| (Steer Prompts)       (Executes Agent Tasks)      (Merges)  |

+-------------------------------------------------------------+

Connecting to Remote Workspaces and Cloud Dev Environments

Add cloud workstations to your regular Kepler multi-repo workflow, with no complex setup. Kepler links to remote containers and virtual machines securely. This connection gives you steady build performance, no matter your local machine's limits.

Managing Kepler Sessions Remotely

This GitKraken Kepler Tutorial on the ADE workflow helps engineers work with more independence. Manage remote sessions with ease, as part of your standard DevEx AI tooling strategy. You unlock top engineering output across every stage of the development cycle.