Read the full article: Roo Code: A Claude-Powered Dev Agent Inside VS Code

Discover more at AI Builds It: Easy Coding Tools

Excerpt:

Roo Code: A Claude-Powered Dev Agent Inside VS Code

Roo Code is a free, open-source AI-powered assistant that lives inside Visual Studio Code. Like having “an AI-powered dev team” in your editor, it can read and write code across multiple files, run commands, and even browse the web to gather information (roocode.com) (direct.betterstack.com). Under the hood it uses large language models (you can “plug in” Anthropic’s Claude, OpenAI’s GPT, Google’s models, or local ones), and it lets you switch between specialized modes (Architect, Code, Ask, Debug, etc.) for planning, writing, querying, and debugging code (www.datacamp.com) (marketplace.visualstudio.com). This makes it much more than a simple autocomplete – you describe a task in natural language and Roo Code coordinates step-by-step actions to get it done, with you in control at every turn.

... Continue reading

Read the full article: Plandex: Large-Repo Autonomous Refactoring and Release Management

Discover more at AI Builds It: Easy Coding Tools

Excerpt:

Plandex: Autonomous Refactoring and Release Management for Large Codebases

Plandex is an open-source AI-powered coding assistant designed to handle large, real-world programming tasks that span many files. It uses modern language models (LLMs) to plan, apply, and verify multi-step changes. Unlike simple text-complete coding tools, Plandex builds a “plan-sandbox”: it generates all proposed edits in a separate space (viewable via plandex diff), and only applies them to your project when you explicitly confirm (using plandex apply) (www.noze.it). This plan-then-apply approach means you can rename functions, extract modules, or refactor code across dozens of files without leaving your repository in a broken state (www.noze.it). For example, one tutorial notes that Plandex can migrate a function name across 40 files without half-going to disk until all steps are correct (www.noze.it) (www.noze.it).

... Continue reading

Read the full article: Sweep AI: Issue-to-PR Automation in Public Repositories

Discover more at AI Builds It: Easy Coding Tools

Excerpt:

Introduction

Sweep AI is an AI-powered junior developer for GitHub that turns written issue descriptions into code changes. In practice, a user writes a GitHub issue (e.g. “add type hints to this file”) and Sweep autonomously searches the codebase, generates the needed code, and opens a pull request for review (www.fondo.com) (pypi.org). As one security profile notes, “Sweep is an AI code assistant that turns GitHub issues into GitHub pull requests” (security-profiles.nudgesecurity.com). In other words, Sweep automates the mundane work of fixing bugs, writing tests, updating docs, and adding small features, so developers can focus on architecting the core product.

... Continue reading

Read the full article: Replit Agent: Product Capabilities and Early User Feedback

Discover more at AI Builds It: Easy Coding Tools

Excerpt:

Introduction

Replit is a web-based programming platform that lets anyone build software in the browser. Its Replit Agent is an AI-powered coding assistant that can turn plain-language prompts into working apps (skywork.ai) (blog.replit.com). In practice, you describe the app or feature you want, and the Agent “plans” the work, writes the code, runs tests, and even helps deploy it, all within the Replit workspace (skywork.ai) (docs.replit.com). This means non-coders or beginners can start creating software just by explaining what they need in everyday language. Replit emphasizes that the Agent can build complete apps “from a few sentences in minutes,” taking care of setup and infrastructure behind the scenes (skywork.ai) (skywork.ai). In short, the Agent is like an AI teammate that handles tedious coding tasks, so you can focus on your ideas and design.

... Continue reading

Read the full article: Inside Devin’s Workflow: Tool Use, Planning, and Autonomy

Discover more at AI Builds It: Easy Coding Tools

Excerpt:

Introduction

Task Planning and Decomposition

... Continue reading

Read the full article: Cursor IDE Agent: Repository-Scale Edits and Developer Reports

Discover more at AI Builds It: Easy Coding Tools

Excerpt:

Cursor IDE Agent: Repository-Scale Edits and Developer Reports

Cursor is an AI-native code editor (a VS Code fork) designed to manage entire codebases with built-in artificial intelligence. Unlike basic autocomplete tools, Cursor’s Agent Mode lets the AI act “in the driver’s seat,” reading, editing and creating code across multiple files at once (federicocalo.dev) (www.datacamp.com). In this mode, the AI can search your code, update imports, change function definitions everywhere they appear, run build or test commands, and fix errors in a loop – much like a senior developer working in parallel (federicocalo.dev) (www.datacamp.com). It truly works at repository scale: for example, one guide describes telling the AI “Add JWT authentication to this Angular app” and watching it create services, update components, run tests, and repair errors without manual edits (federicocalo.dev). These agentic features are powered by a “tool use” architecture: the AI can call functions like read_file, edit_file, search_files, or even run_terminal_command to inspect and modify your project (federicocalo.dev). In practice, Cursor’s agent can autonomously carry out large refactors and feature builds by combining language understanding with direct code manipulation.

... Continue reading