Getting Started
Getting Started
Getting Started with DevLoop Runner - Auto-generate PRs from GitHub Issues
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Tips
Latest insights and best practices for AI-driven development
Getting Started
Troubleshooting
5 Common Failure Patterns in AI-Powered Development and How to Avoid Them
An honest look at 5 common mistakes when using AI development tools, with symptoms, root causes, and practical fixes using DevLoop Runner.
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Concepts
ROI of AI Development Tools: Understanding Costs and Time Savings Before Adoption
A practical guide to evaluating the ROI of AI development tools, covering cost structures, time savings by area, and a calculation framework with concrete scenarios.
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Use Cases
Safe Database Migrations with AI: From Schema Changes to Data Migration
Learn how to safely execute database migrations -- one of the riskiest development tasks -- using DevLoop Runner. This guide covers schema changes, data migrations, and index additions with practical workflows.
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Use Cases
Accelerating OSS Contributions with AI: From Your First PR to Ongoing Involvement
Learn how to streamline open-source contributions with DevLoop Runner. From overcoming the barriers of unfamiliar codebases to establishing a sustainable contribution workflow, this guide covers it all.
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Use Cases
Automating Frontend UI Development with AI: From Components to Styling
A practical guide to using DevLoop Runner for frontend development. Learn how to write Issues for UI components, plan test strategies, and choose the right execution mode, with concrete examples.
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Best Practices
When to Delegate to AI vs. Code Yourself: A Decision Framework
A practical framework for deciding which development tasks to delegate to AI tools and which to handle yourself, with concrete examples using DevLoop Runner.
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Getting Started
Step-by-Step Guide to Adopting DevLoop Runner in Existing Projects
A practical guide for introducing DevLoop Runner into an existing codebase. Covers readiness assessment, choosing the right first tasks, a phased adoption plan, and common pitfalls to avoid.
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Best Practices
Optimizing Issue Granularity: The Task Size Where AI Performs Best
A deep dive into Issue sizing for AI-powered development. Learn the sweet spot for task size, how to estimate before running, splitting strategies by task type, and a decision matrix for when to split.
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Usage
How to Read Phase Reports: Understanding AI Decision-Making
Learn how to read and interpret phase reports generated by Dev Run to understand AI decisions, improve review quality, and write better Issues.
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Getting Started
Post-Dev Run Workflow: The Complete Guide from PR Review to Merge
Learn what to do after Dev Run completes, from interpreting evaluation results to PR review, Finalize, and merge, with decision flowcharts.
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Use Cases
Integrating CI/CD Pipelines with AI-Driven Development
AI-generated code needs a robust pipeline to reach production safely. Here's how to integrate DevLoop Runner with CI/CD for automated quality gates, feedback loops, and deployment strategies.
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Concepts
Prompt Engineering for Developers
The quality of your AI-generated code depends on the quality of your instructions. Learn to treat GitHub Issues as prompts and apply prompt engineering principles to get better results from DevLoop Runner.
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Usage
Batch Processing Multiple Issues: A Practical Guide
How to efficiently process multiple Issues at once with DevLoop Runner. Covers selecting the right Issues for batching, prioritization, avoiding conflicts, and streamlining reviews.
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Concepts
The Hidden Cost of Context Switching and How AI Solves It
Every task switch costs an average of 23 minutes of recovery time. Exploring the hidden tax of context switching on developer productivity and how AI can eliminate it.
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Best Practices
Security Best Practices for AI-Generated Code
AI-generated code can harbor security risks. From OWASP Top 10 mapping to input validation, authentication, and secrets management, here are the best practices for keeping AI-generated code secure.
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Use Cases
Ship a Weekend Project with AI
Plan on Friday night, build on Saturday, polish on Sunday. A practical guide to finishing personal projects in a weekend using DevLoop Runner's parallel processing.
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Concepts
The Current State of AI Test Generation
How far has automated test generation come? Exploring what AI does well, where it falls short, and how DevLoop Runner's three-phase approach tackles test quality.
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Use Cases
Managing Multiple Repositories in Parallel
As microservices and multi-product setups multiply your repositories, managing them becomes its own challenge. Here's how to use DevLoop Runner for efficient parallel management across repos.
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Troubleshooting
Debugging Guide for Failed Jobs
Learn how to debug failed DevLoop Runner jobs. This guide covers identifying failure types, phase-specific troubleshooting, using rollback for re-execution, improving Issues, and reading logs effectively.
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Best Practices
A Practical Guide to Adopting AI Development Tools on Your Team
A step-by-step guide for introducing AI development tools to your engineering team. Covers preparation, phased rollout, handling resistance, workflow redesign, and measuring impact, using DevLoop Runner as a concrete example.
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Concepts
The Human-AI Collaboration Model for Software Development
Explore how humans and AI can collaborate effectively in software development. Using DevLoop Runner's four-persona model as an example, this article examines role division, communication design, and the path to AI-native development.
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Use Cases
Accelerating Startup MVP Development with AI
Learn how startups can build MVPs faster with AI. This guide covers practical workflows with DevLoop Runner, Issue splitting strategies, parallel development, and quality standards for the MVP stage.
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Best Practices
Quality Checklist for AI-Generated Code
A practical checklist for reviewing AI-generated code across five quality dimensions: correctness, readability, maintainability, security, and performance. Includes AI-specific pitfalls and a ready-to-use review template.
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Concepts
The Future of Code Review: Quality Assurance in the AI Era
Explore how AI is transforming code review. From the limitations of traditional reviews to the evolving role of human reviewers, discover the new model of quality assurance that DevLoop Runner enables.
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Use Cases
Automating API Development with AI
Learn how to streamline REST API and GraphQL development with DevLoop Runner. From writing effective Issue specs to auto-generating tests and documentation, this guide covers the complete workflow.
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Best Practices
A Guide to Writing Effective PR Descriptions
Learn how to write PR descriptions that reviewers actually appreciate. Discover how to leverage DevLoop Runner's auto-generated PR descriptions and design templates for your team.
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Usage
Auto-Create Related Issues with Sub Issue: AI Discovers and Files Tasks Derived from Parent Issues
Learn how to use the Sub Issue mode in Issue Run to let AI discover and automatically file bugs, related tasks, and improvements derived from a parent issue.
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Concepts
The Evolution of AI Pair Programming
Explore how AI is transforming the concept of pair programming. From code completion to workflow automation, trace the evolution of human-AI collaboration and discover the team development model that DevLoop Runner makes possible.
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Troubleshooting
Common Errors and How to Fix Them
A reference guide to the most common errors you'll encounter when using DevLoop Runner. Covers authentication issues, repository connection problems, Dev Run failures, test errors, and more.
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Best Practices
Issue-Driven Development Best Practices: Building Your Workflow Around Issues
Best practices for Issue-driven development, covering how to write Issues, classification strategies, template design, and integration with DevLoop Runner.
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Use Cases
Modernizing Legacy Code with AI
Learn how to modernize legacy code efficiently with AI. This guide covers automated detection of legacy patterns, AI-powered refactoring with DevLoop Runner, concrete migration examples, and strategies for building a test-first modernization plan.
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Use Cases
AI Bug Fix Workflow: A Practical Guide from Reproduction to PR
A practical workflow for fixing bugs with DevLoop Runner, covering Issue writing for bug reports, execution mode selection, and category-specific approaches.
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Concepts
Solo Developer AI Strategy: Achieving Team-Level Productivity Alone
How solo developers can build a virtual AI team with DevLoop Runner and achieve the throughput of a full development team.
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Usage
How to Use Finalize: Publishing Your Draft PR
A detailed guide to the Finalize feature after Dev Run completes, covering the execution steps, review checklist, and merge workflow.
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Getting Started
Your First Dev Run Tutorial: From Issue to PR
A step-by-step guide for first-time DevLoop Runner users, covering repository setup, running your first Dev Run, reviewing the PR, and completing the Finalize process.
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Concepts
AI Coding Assistant Comparison Guide: How to Choose the Right Tool for You
Compare major AI coding tools—GitHub Copilot, Cursor, Claude Code, Devin, and DevLoop Runner—and learn how to choose the right one based on your development style and needs.
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Best Practices
7 Tips for Efficiently Reviewing AI-Generated Pull Requests
Practical tips for reviewing PRs auto-generated by DevLoop Runner—efficiently and thoroughly. Learn the mindset and key checkpoints for code review in the age of AI.
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Usage
Close Issue: Let AI Clean Up Stale Issues and Keep Your Repository Organized
Learn how to use Issue Run's Close Issue mode to let AI analyze and automatically close stale GitHub issues, keeping your repository clean and focused.
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Getting Started
Dev Run Workflow Complete Guide: How an Issue Becomes a PR in 10 Phases
A detailed walkthrough of DevLoop Runner's Dev Run workflow—10 phases from issue to pull request, with each phase's role, assigned persona, and deliverables explained.
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Use Cases
Automate Your Issue Management with Issue Run: A Practical Guide to Create, Rewrite, and Close
Learn how to combine Issue Run's three modes—Create, Rewrite, and Close—to automate the full lifecycle of GitHub issue management, from creation to cleanup.
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Usage
Rewrite Issue: Let AI Automatically Improve Your GitHub Issues
Learn how to use the Rewrite Issue feature to automatically improve unclear GitHub issues into well-structured, actionable descriptions with AI.
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Concepts
Technical Debt vs AI: The Potential for Automatic Detection and Remediation
Why does technical debt accumulate? How can AI detect and fix it? Using DevLoop Runner as an example, we explore the current state and potential of AI-driven technical debt management.
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Use Cases
10x+ Developer Productivity: Automating Everything from Impact Analysis to Testing
Achieve 10x+ productivity by automating impact analysis, planning, implementation, and testing. Focus on decisions while DevLoop Runner processes 10 Issues in parallel overnight.
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Usage
Abort Job Feature: How to Stop Running Jobs
Learn how to stop jobs that were started by mistake or are no longer needed. Understand how to use the abort feature and its important considerations.
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Usage
Skip Phases Feature: Customize Full Execution Mode
Learn how to skip specific phases in Full Execution mode to run only the processes you need efficiently.
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Concepts
Achieving the 'Zero Wait Thinking' Proven by Claude Code's Creator with DevLoop Runner
The ultimate development style of Boris Cherny, creator of Claude Code, running 10-15 parallel instances. We explain the evolution of AI-driven development and how DevLoop Runner makes it accessible to everyone.
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Concepts
AI Auto-Implementation and Developer Time Allocation: From Implementation to Decision-Making
How does AI auto-implementation with DevLoop Runner change developer time allocation? We explore comparisons with traditional development styles, the essence of value creation, and new ways of working.
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Usage
Monitor Job Progress in Real-Time
Learn how to track your running jobs with Phase Progress and Live Progress features.
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Settings
Pre-validate Credentials: Catch Errors Before Job Execution
Learn how to use the credential validation feature to verify GitHub tokens and AI credentials before running jobs, preventing authentication failures.
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Concepts
What is AI-Native Development? The Evolution of Issue-Driven Development
Discover what AI-Native Development means and how Issue-Driven Development is evolving with AI. Learn about Human-in-the-Loop importance and practical implementation with DevLoop Runner.
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Settings
AI Credentials Setup Best Practices: Utilizing Optimization Mode
Learn how to configure multiple AI credentials (OpenAI, Claude, Anthropic) to enable optimization mode with automatic failover.
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Use Cases
Automating Documentation Updates - Maintaining READMEs and Comments
Learn how to let AI handle documentation updates that follow code changes. Streamline maintenance of READMEs, API docs, and code comments.
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Use Cases
Let AI Handle Refactoring - New Methods for Code Quality Improvement
Learn how to use AI to continuously improve code quality. Useful for eliminating technical debt and improving code readability.
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Use Cases
Let AI Write Your Tests - Strategies for Improving Test Coverage
Learn how to use AI to automatically generate test code and efficiently improve your test coverage.
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Usage
Create Issue: Let AI Detect Codebase Problems and Turn Them into Issues
Learn how to use Issue Run's Create Issue mode to automatically analyze your repository with AI and create GitHub issues for bugs, refactoring opportunities, and feature suggestions.
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Usage
Guide to Choosing Execution Modes: When to Use Full, Plan-Only, and Implementation-Only
Learn the differences between DevLoop Runner's three execution modes (Full, Plan-Only, Implementation-Only) and how to choose the optimal mode for each situation.
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Getting Started
Getting Started with DevLoop Runner - Auto-generate PRs from GitHub Issues
A comprehensive guide on how to use DevLoop Runner to automatically convert GitHub Issues into Pull Requests with AI.
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Settings
How to Efficiently Manage Multiple GitHub Accounts
Learn how to manage and switch between multiple GitHub accounts in DevLoop Runner, such as personal and work accounts.
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Best Practices
Complete Guide to Writing GitHub Issues: How to Give AI-Friendly Instructions
Learn how to write GitHub Issues that get the best results from DevLoop Runner. Includes templates by issue type, common mistakes with before/after examples, and practical tips.
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Troubleshooting
How to Use the Rollback Feature: Recovering from Failures
Learn how to use the rollback feature when jobs don't produce expected results. Understand the differences between auto and manual modes and how to use them effectively.
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Getting Started
Why DevLoop Runner - Differences from Using Claude Code or Codex Alone
What's the difference between using AI coding tools directly versus through DevLoop Runner? We explain the value of workflow automation.
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