# Tavily Search Results: Geneva

**Query:** AI coding agents updates — Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Gemini Code Assist  
**Topic:** general  
**Results:** 5  
**Date:** 2026-07-06 00:07:39

---

## 1. Best AI Coding Agents for Developers in 2026: Cursor, Claude Code ...

**URL:** [https://windowsforum.com/threads/best-ai-coding-agents-for-developers-in-2026-cursor-claude-code-copilot-more.433584](https://windowsforum.com/threads/best-ai-coding-agents-for-developers-in-2026-cursor-claude-code-copilot-more.433584)  
**Score:** 0.7525

### Summary

For years, the pitch for AI coding tools was simple: type less, autocomplete more. GitHub Copilot made that model mainstream, and most developers learned the same lesson quickly. A good suggestion could feel magical; a bad one could quietly plant a bug you would not notice until review, testing, or production.  
 The 2026 crop of coding agents changes the risk profile because these tools no longer stop at suggestion. They inspect repositories, infer architecture, edit multiple files, run commands, generate tests, interpret failures, and sometimes open pull requests. That means the unit of trust has moved from “Do I accept this completion?” to “Do I trust this agent’s understanding of the system?” [...] The best AI coding agents for developers in 2026 are Cursor, Claude Code, GitHub Copilot, Magic Coder by BridgeApp, Cline, Windsurf, and Devin, each targeting a different point on the spectrum between editor assistance, terminal-driven automation, and autonomous software work. The real story is not that one assistant has “won” coding. It is that coding tools have split into distinct operating models, and choosing badly now means importing workflow debt as surely as choosing the wrong framework did a decade ago. The agent is no longer just suggesting the next line; it is becoming part of the development process itself. [...] The useful way to choose among these tools is to map them to the kind of control your team wants. Cursor is the polished AI-native IDE for developers who want acceleration inside the editor. Claude Code is the terminal reasoning engine for hard problems. GitHub Copilot is the enterprise-safe default for teams already living in GitHub.  
 Magic Coder by BridgeApp is the architecture-aware option for teams that want workspace context and centralized standards. Cline is the open-source, model-flexible choice for developers who want transparency and approval gates. Windsurf is the predictable editor alternative for teams that want agentic help without billing drama. Devin is the autonomous cloud worker for bounded tasks with clear specifications.

### Full Content

[![Windows Forum](https://windowsforum.com/styles/brand_logo/vector.svg)](https://windowsforum.com/)

[![Windows Forum](https://windowsforum.com/styles/brand_logo/vector.svg)](https://windowsforum.com/)

[Log in](/login/) 
 [Register](/register/)

[What's new](/whats-new/ "What's new")   [Search](/search/ "Search")

[Log in](/login/)

---



---

Install the app

How to install the app on iOS

Follow along with the video below to see how to install our site as a web app on your home screen.

**Note:** This feature may not be available in some browsers.

## Navigation section

* [New posts](/whats-new/posts/)
* [Search forums](/search/?type=post)
* [Latest Builds](/builds)
* [Ask the AI](/pages/ai/)
* [Forum Store](/store/)

* [Forums](/)
* [Windows Help and Support Forums](/#windows-help-and-support-forums.140)
* [Windows News](/forums/windows-news.4/)

You are using an out of date browser. It may not display this or other websites correctly.  
You should upgrade or use an [alternative browser](https://www.google.com/chrome/).

# Best AI Coding Agents for Developers in 2026: Cursor, Claude Code, Copilot & More

* Start date
* 19 min read
* Author [By WindowsForum News Desk](https://windowsforum.com/pages/news-desk/) · [AI-assisted reporting](https://windowsforum.com/pages/news-desk/)
* Featured
* Tags
  :   [agentic coding](/tags/agentic-coding/)   [ai coding agents](/tags/ai-coding-agents/)   [developer tools](/tags/developer-tools/)   [software engineering 2026](/tags/software-engineering-2026/)

The best AI coding agents for developers in 2026 are Cursor, Claude Code, GitHub Copilot, Magic Coder by BridgeApp, Cline, Windsurf, and Devin, each targeting a different point on the spectrum between editor assistance, terminal-driven automation, and autonomous software work. The real story is not that one assistant has “won” coding. It is that coding tools have split into distinct operating models, and choosing badly now means importing workflow debt as surely as choosing the wrong framework did a decade ago. The agent is no longer just suggesting the next line; it is becoming part of the development process itself.  

## [Dashboard showcasing seven AI coding agents in one secure developer workspace, plan-to-ship workflow with checks.](https://windowsforum.com/attachments/windowsforum-best-ai-coding-agents-for-developers-in-2026-cursor-claude-code-copilot-more-webp.162018/)The Coding Assistant Has Become a Coworker With Root Access​

For years, the pitch for AI coding tools was simple: type less, autocomplete more. GitHub Copilot made that model mainstream, and most developers learned the same lesson quickly. A good suggestion could feel magical; a bad one could quietly plant a bug you would not notice until review, testing, or production.  
 The 2026 crop of coding agents changes the risk profile because these tools no longer stop at suggestion. They inspect repositories, infer architecture, edit multiple files, run commands, generate tests, interpret failures, and sometimes open pull requests. That means the unit of trust has moved from “Do I accept this completion?” to “Do I trust this agent’s understanding of the system?”  
 That is a much harder question. Real codebases are not tutorial sandboxes. They contain historical compromises, undocumented invariants, security assumptions, brittle CI pipelines, and naming conventions that make sense only to the people who have lived with them. An agent that writes correct-looking code while missing those local rules is not a productivity tool; it is a very fast source of review fatigue.  
 The best tools in 2026 are not necessarily the ones with the flashiest demos. They are the ones that preserve developer control at the right moments, maintain context across messy projects, and make it clear what they are about to do before they do it.  
 

---

## Cursor Wins the Daily Driver Slot by Becoming the IDE​

Cursor’s advantage is that it does not feel like an add-on. It is a VS Code-derived editor rebuilt around AI workflows, and that distinction matters. The agent is not sitting beside the editor; it is woven into navigation, search, inline completion, refactoring, terminal interaction, and repository context.  
 For individual developers and small teams, Cursor is often the most natural first stop because it improves the work developers already do every day. Its autocomplete can anticipate multi-line edits, and its agent mode can move from intent to implementation without forcing the user to manually shepherd every file change. The result is an AI-native IDE that feels less like a chatbot and more like a faster pair programmer.  
 Cursor’s strength is repository awareness. Developers can reference files, symbols, documentation, and project context while asking for changes, and the tool is especially useful for feature work, test generation, and local refactors. Its newer parallel-agent workflows push the product toward something closer to a lightweight development sw

*[Content truncated...]*

---

## 2. bradAGI/awesome-cli-coding-agents - GitHub

**URL:** [https://github.com/bradAGI/awesome-cli-coding-agents](https://github.com/bradAGI/awesome-cli-coding-agents)  
**Score:** 0.7031

### Summary

agent-deck`⭐ 393` — Terminal session manager for AI coding agents — one TUI for Claude, Gemini, OpenCode, Codex, and more. Worktree-aware, MCP integration, 8+ contributors. MIT.

   ntm`⭐ 372` — Named Tmux Manager — spawn, tile, and coordinate multiple AI coding agents (Claude, Codex, Gemini) across tmux panes with a TUI command palette.

   hcom`⭐ 360` — Hooks Claude Code, Antigravity, Codex, OpenCode, Kilo, and Cursor into a shared messaging and event bus; agents message, observe, and spawn each other mid-turn without changing how you use them. TUI dashboard, collision detection, cross-device relay. Rust, MIT. [...] Skip to content
## Navigation Menu

Toggle navigation

; supports 300+ models across multiple providers.

   Claw Code`⭐ 194k` — Clean-room Python/Rust rewrite of Claude Code architecture using oh-my-codex; fastest repo in GitHub history to 100K stars. Born from the March 2026 Claude Code source leak. MIT.

   OpenCode`⭐ 180k` — Terminal-native coding agent with 75+ provider support, LSP integration, and privacy-first design (formerly opencode-ai; now at opencode.ai).

   Gemini CLI`⭐ 106k``[Google]` — Google's terminal agent powered by Gemini, with tools for repo work and research. Apache-2.0.

   Codex CLI`⭐ 94.4k``[OpenAI]` — OpenAI's local coding agent for reading/editing/running code, with an interactive TUI and tool execution. Apache-2.0. [...] skillreaper`⭐ 33` — CLI that reads real session transcripts to find skills, MCP servers, and agents loaded but never fired, then safely quarantines them in a reversible operation. Supports Claude Code, Codex CLI, Hermes, OpenCode, Cursor, and OpenClaw. Zero telemetry, single static binary, Homebrew and npm. MIT.

   AgentDiff`⭐ 30` — Git-native provenance for AI-written code: hooks every CLI agent (Claude Code, Codex, Cursor, Gemini, OpenCode, Windsurf, Copilot) and records which agent wrote which line, reconciles it against each commit, and signs every attribution with ed25519. Records live in your own git refs (`agentdiff list/blame/report`); no server. Rust, MIT/Apache-2.0.

   AgentManager`⭐ 27` — Lightweight CLI for managing multiple agent runs/sessions and workflows.

### Full Content

[Skip to content](https://github.com/bradAGI/awesome-cli-coding-agents#start-of-content)
## Navigation Menu

Toggle navigation

[](https://github.com/)

[Sign in](https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FbradAGI%2Fawesome-cli-coding-agents)

Appearance settings

*   
Platform

    *   
AI CODE CREATION
        *   [GitHub Copilot Write better code with AI](https://github.com/features/copilot)
        *   [GitHub Copilot app Direct agents from issue to merge](https://github.com/features/ai/github-app)
        *   [MCP Registry New Integrate external tools](https://github.com/mcp)

    *   
DEVELOPER WORKFLOWS
        *   [Actions Automate any workflow](https://github.com/features/actions)
        *   [Codespaces Instant dev environments](https://github.com/features/codespaces)
        *   [Issues Plan and track work](https://github.com/features/issues)
        *   [Code Review Manage code changes](https://github.com/features/code-review)

    *   
APPLICATION SECURITY
        *   [GitHub Advanced Security Find and fix vulnerabilities](https://github.com/security/advanced-security)
        *   [Code security Secure your code as you build](https://github.com/security/advanced-security/code-security)
        *   [Secret protection Stop leaks before they start](https://github.com/security/advanced-security/secret-protection)

    *   
EXPLORE
        *   [Why GitHub](https://github.com/why-github)
        *   [Documentation](https://docs.github.com/)
        *   [Blog](https://github.blog/)
        *   [Changelog](https://github.blog/changelog)
        *   [Marketplace](https://github.com/marketplace)

[View all features](https://github.com/features)

*   
Solutions

    *   
BY COMPANY SIZE
        *   [Enterprises](https://github.com/enterprise)
        *   [Small and medium teams](https://github.com/team)
        *   [Startups](https://github.com/enterprise/startups)
        *   [Nonprofits](https://github.com/solutions/industry/nonprofits)

    *   
BY USE CASE
        *   [App Modernization](https://github.com/solutions/use-case/app-modernization)
        *   [DevSecOps](https://github.com/solutions/use-case/devsecops)
        *   [DevOps](https://github.com/solutions/use-case/devops)
        *   [CI/CD](https://github.com/solutions/use-case/ci-cd)
        *   [View all use cases](https://github.com/solutions/use-case)

    *   
BY INDUSTRY
        *   [Healthcare](https://github.com/solutions/industry/healthcare)
        *   [Financial services](https://github.com/solutions/industry/financial-services)
        *   [Manufacturing](https://github.com/solutions/industry/manufacturing)
        *   [Government](https://github.com/solutions/industry/government)
        *   [View all industries](https://github.com/solutions/industry)

[View all solutions](https://github.com/solutions)

*   
Resources

    *   
EXPLORE BY TOPIC
        *   [AI](https://github.com/resources/articles?topic=ai)
        *   [Software Development](https://github.com/resources/articles?topic=software-development)
        *   [DevOps](https://github.com/resources/articles?topic=devops)
        *   [Security](https://github.com/resources/articles?topic=security)
        *   [View all topics](https://github.com/resources/articles)

    *   
EXPLORE BY TYPE
        *   [Customer stories](https://github.com/customer-stories)
        *   [Events & webinars](https://github.com/resources/events)
        *   [Ebooks & reports](https://github.com/resources/whitepapers)
        *   [Business insights](https://github.com/solutions/executive-insights)
        *   [GitHub Skills](https://skills.github.com/)

    *   
SUPPORT & SERVICES
        *   [Documentation](https://docs.github.com/)
        *   [Customer support](https://support.github.com/)
        *   [Community forum](https://github.com/orgs/community/discussions)
        *   [Trust center](https://github.com/trust-center)
        *   [Partners](https://github.com/partners)

[View all resources](https://github.com/resources)

*   
Open Source

    *   
COMMUNITY
        *   [GitHub Sponsors Fund open source developers](https://github.com/sponsors)

    *   
PROGRAMS
        *   [Security Lab](https://securitylab.github.com/)
        *   [Maintainer Community](https://maintainers.github.com/)
        *   [Accelerator](https://github.com/accelerator)
        *   [GitHub Stars](https://stars.github.com/)
        *   [Archive Program](https://archiveprogram.github.com/)

    *   
REPOSITORIES
        *   [Topics](https://github.com/topics)
        *   [Trending](https://github.com/trending)
        *   [Collections](https://github.com/collections)

*   
Enterprise

    *   
ENTERPRISE SOLUTIONS
        *   [Enterprise platform AI-powered developer platform](https://github.com/enterprise)

    *   
AVAILABLE ADD-ONS
        *   [GitHub Advanced Security Enterprise-grade security features](https://github.com/security/advanced-security)
        *   [Copilot for Business Enterpr

*[Content truncated...]*

---

## 3. Best Enterprise AI Coding Agents Reviews 2026 - Gartner

**URL:** [https://www.gartner.com/reviews/market/enterprise-ai-coding-agents](https://www.gartner.com/reviews/market/enterprise-ai-coding-agents)  
**Score:** 0.6960

### Summary

## Gartner Client Insights

Magic Quadrant for Enterprise AI Coding Agents
Critical Capabilities for Enterprise AI Coding Agents

Gartner Peer Insights 'Voice of the Customer': Enterprise AI Coding Agents

## Top Trending Products

Kiro
Amazon Q Developer
Claude Code
GitHub Copilot
Gemini Code Assist
Codex
GitLab Duo Agent Platform
Cursor

Powered by Google TranslateThis service may contain translations provided by Google. Google disclaims all warranties related to the translations, express or implied, including any warranties of accuracy, reliability, and any implied warranties of merchantability, fitness for a particular purpose and noninfringement. Gartner's use of this provider is for operational purposes and does not constitute an endorsement of its products or services. [...] ### Claude Code

By Anthropic

4.7

(96 Ratings)

Claude Code is a software developed by Anthropic that focuses on providing AI-powered coding assistance. The software is designed to help users write, understand, and improve code across various programming languages. It offers features such as code generation, code completion, and the ability to explain code snippets, aiming to support developers in enhancing productivity and reducing coding errors. Claude Code addresses business challenges related to software development by automating routine coding tasks and facilitating knowledge transfer, which can lead to faster development cycles and improved code quality.

Show More Details

Logo of Cursor

### Cursor

By Cursor

4.6

(92 Ratings) [...] Enterprise AI coding agents are an evolution of AI code assistants. While code assistants primarily suggest code, complete snippets and answer questions in a chat interface, enterprise AI coding agents enable software engineering teams to delegate and offload a greater portion of development work through dynamic task planning and tool use.

Learn More About This Category

How Categories and Markets Are Defined

Highest Rated By Your Peers

For Willingness to Recommend

Logo of Cursor

Cursor
Logo of Claude Code

Claude Code
Logo of Augment Code

Augment Code

For 50M-1B USD Companies

Logo of Augment Code

Augment Code
Logo of Kiro

Kiro
Logo of Claude Code

Claude Code

For North America

Logo of Augment Code

Augment Code
Logo of Claude Code

Claude Code
Logo of Kiro

Kiro

### Full Content

## What are Enterprise AI Coding Agents?

Gartner defines enterprise AI coding agents as autonomous or semiautonomous software engineering solutions that perceive context, translate human intent into multistep plans, and execute and verify those steps across code, tests and related engineering artifacts. Enterprise AI coding agents enable developers to prompt, steer, delegate and supervise workflows through synchronous or asynchronous modes with varying human oversight, delivered via IDEs, CLIs, cloud environments and collaboration platforms. This market focuses on solutions designed for enterprise software engineering organizations and their requirements for governance, integration and scale.

Enterprise AI coding agents are an evolution of AI code assistants. While code assistants primarily suggest code, complete snippets and answer questions in a chat interface, enterprise AI coding agents enable software engineering teams to delegate and offload a greater portion of development work through dynamic task planning and tool use.

Learn More About This Category

[How Categories and Markets Are Defined](/reviews/faq#rq20)



Highest Rated By Your Peers

For Willingness to Recommend

[![Logo of Cursor](/pi/vendorimages/anysphere_cursor_1771021658737.png)

Cursor](/reviews/product/cursor?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of Claude Code](https://reviews.static.gartner.com/_next/static/media/product-logo-placeholder.2a473811.svg)

Claude Code](/reviews/product/claude-code?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of Augment Code](/pi/vendorimages/augment-code_1732693735215.jpg)

Augment Code](/reviews/product/augment-code?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)

For 50M-1B USD Companies

[![Logo of Augment Code](/pi/vendorimages/augment-code_1732693735215.jpg)

Augment Code](/reviews/product/augment-code?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of Kiro](/pi/vendorimages/amazon-web-services_1660165755780.png)

Kiro](/reviews/product/kiro?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of Claude Code](https://reviews.static.gartner.com/_next/static/media/product-logo-placeholder.2a473811.svg)

Claude Code](/reviews/product/claude-code?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)

For North America

[![Logo of Augment Code](/pi/vendorimages/augment-code_1732693735215.jpg)

Augment Code](/reviews/product/augment-code?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of Claude Code](https://reviews.static.gartner.com/_next/static/media/product-logo-placeholder.2a473811.svg)

Claude Code](/reviews/product/claude-code?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of Kiro](/pi/vendorimages/amazon-web-services_1660165755780.png)

Kiro](/reviews/product/kiro?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)

Integration & Deployment

[![Logo of Augment Code](/pi/vendorimages/augment-code_1732693735215.jpg)

Augment Code](/reviews/product/augment-code?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of GitHub Copilot](/pi/vendorimages/github_1607121801576.png)

GitHub Copilot](/reviews/product/github-copilot?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)
[![Logo of Codex](/pi/vendorimages/openai_1701257490552.jpg)

Codex](/reviews/product/codex?marketSeoName=enterprise-ai-coding-agents&source=highest-rated-multi)



## Product Listings

### Filter by

Products 1 - 20 of 38

Sort by

[![Logo of Amazon Q Developer](/pi/vendorimages/amazon-web-services_1660165755780.png)](https://www.gartner.com/reviews/product/amazon-q-developer?marketSeoName=enterprise-ai-coding-agents)

### [Amazon Q Developer](https://www.gartner.com/reviews/product/amazon-q-developer?marketSeoName=enterprise-ai-coding-agents)

[By Amazon Web Services (AWS)](enterprise-ai-coding-agents/vendor/amazon-web-services)

4.4

[(456 Ratings)](https://www.gartner.com/reviews/product/amazon-q-developer?marketSeoName=enterprise-ai-coding-agents#reviews-ratings-section-3d37gh4)

Amazon Q Developer is a software designed to assist developers in building, managing, and deploying applications on the AWS platform. The software utilizes generative artificial intelligence to automate code generation, provide code explanations, support code debugging, and facilitate application troubleshooting. It integrates with development environments to offer suggestions and resources, helping developers optimize workflows and resolve technical issues. By enabling faster development cycles and reducing manual coding effort, the software addresses the challenge of increasing development efficiency and maintaining code quality within cloud-based infrastructures. Amazon Q Developer also assists with documentation and handling frequently asked technical questions

*[Content truncated...]*

---

## 4. GitHub Copilot vs. Gemini Code Assist (2026) - Vercel

**URL:** [https://vercel.com/i/github-copilot-vs-gemini-code-assist](https://vercel.com/i/github-copilot-vs-gemini-code-assist)  
**Score:** 0.6607

### Summary

##### Agent Stack

##### Core Platform

##### Tools

##### Learn

##### Build

##### Explore

### Agent Stack

### Core Platform

### Tools

### Learn

### Build

### Explore

# GitHub Copilot vs. Gemini Code Assist: Features, pricing, and how to choose

1 Jul 2026

9 min read

Two AI coding assistants show up on almost every shortlist in 2026: GitHub Copilot and Gemini Code Assist. If you're also weighing agentic IDEs, Cursor vs Claude Code is a useful comparison alongside these two. Copilot's strength is its multi-model lineup and the way it plugs straight into pull requests, issues, and Actions. Code Assist's strength is the million-token context window and the Google Cloud security stack it inherits. [...] Copilot Code Review now runs on an agentic architecture, which means each suggestion comes from a planning loop instead of a single pass. Instead of dropping a one-shot comment, the review agent loops through the diff, follows related changes across files, and refines its suggestions before posting them.

## Copy link to headingWhat is Gemini Code Assist?

Gemini Code Assist is Google's AI coding assistant, built around the Gemini model family and Google Cloud's identity and security tooling. It targets long-context work, repository-aware suggestions, and integration with the rest of a Google Cloud stack.

### Copy link to headingModels and context window [...] This article covers the differences between the two and how to wire either one to the AI SDK when you're ready to ship AI features.

## Copy link to headingWhat is GitHub Copilot?

GitHub Copilot is GitHub's AI coding assistant, built to live inside the IDE and the pull request flow. It supports completions, chat, multi-file edits, and an autonomous agent mode that can plan and execute changes across a repository.

### Copy link to headingModels and modes

Copilot's supported models span OpenAI, Anthropic, Google, and xAI, including Claude Sonnet 4.6, Claude Opus 4.6, GPT-5.4, Gemini 3.1 Pro, and Grok Code Fast 1. Developers can pick a model directly or let Copilot's auto-selection choose one based on the request type.

### Full Content

##### Agent Stack

##### Core Platform

##### Tools

##### Learn

##### Build

##### Explore

![]()

### Agent Stack

### Core Platform

### Tools

### Learn

### Build

### Explore

# GitHub Copilot vs. Gemini Code Assist: Features, pricing, and how to choose

1 Jul 2026

9 min read

Two AI coding assistants show up on almost every shortlist in 2026: GitHub Copilot and Gemini Code Assist. If you're also weighing agentic IDEs, [Cursor vs Claude Code](https://vercel.com/i/cursor-vs-claude-code) is a useful comparison alongside these two. Copilot's strength is its multi-model lineup and the way it plugs straight into pull requests, issues, and Actions. Code Assist's strength is the million-token context window and the Google Cloud security stack it inherits.

This article covers the differences between the two and how to wire either one to the [AI SDK](https://sdk.vercel.ai/docs/introduction) when you're ready to ship AI features.

## [Copy link to heading](#what-is-github-copilot)What is GitHub Copilot?

GitHub Copilot is GitHub's AI coding assistant, built to live inside the IDE and the pull request flow. It supports completions, chat, multi-file edits, and an [autonomous agent mode](https://vercel.com/i/llm-agent) that can plan and execute changes across a repository.

### [Copy link to heading](#models-and-modes)Models and modes

Copilot's [supported models](https://docs.github.com/en/copilot/reference/ai-models/supported-models) span OpenAI, Anthropic, Google, and xAI, including Claude Sonnet 4.6, Claude Opus 4.6, [GPT-5.4](https://vercel.com/i/compare-gpt-5-and-gemini-3), Gemini 3.1 Pro, and Grok Code Fast 1. Developers can pick a model directly or let Copilot's auto-selection choose one based on the request type.

Each model is available across Ask, Edit, and Agent modes. Ask handles chat-style questions, Edit applies user-controlled changes across files, and Agent runs longer multi-step tasks like writing code, running tests, and self-healing errors without manual approval at every step.

### [Copy link to heading](#coding-agent-and-code-review)Coding agent and code review

The [coding agent](https://vercel.com/i/vercel-plugin-coding-agents) runs in an ephemeral GitHub Actions environment, opens its own branch, and submits pull requests when it's done. It supports model picking per task and includes built-in code scanning, secret scanning, and dependency review before the PR lands.

Copilot Code Review now [runs on an agentic architecture](https://github.blog/changelog/2026-03-05-copilot-code-review-now-runs-on-an-agentic-architecture/), which means each suggestion comes from a planning loop instead of a single pass. Instead of dropping a one-shot comment, the review agent loops through the diff, follows related changes across files, and refines its suggestions before posting them.

## [Copy link to heading](#what-is-gemini-code-assist)What is Gemini Code Assist?

Gemini Code Assist is Google's AI coding assistant, built around the Gemini model family and Google Cloud's identity and security tooling. It targets long-context work, repository-aware suggestions, and integration with the rest of a Google Cloud stack.

### [Copy link to heading](#models-and-context-window)Models and context window

Code Assist runs on Gemini 2.5 Pro and 2.5 Flash for production workloads, with Gemini 3.1 Pro and 3.0 Flash [in Preview](https://developers.google.com/gemini-code-assist/docs/gemini-3) since March 2026. Free-tier users join a waitlist for Preview access, while Standard, Enterprise, and Google AI Pro subscribers can opt in directly.

The local codebase context window reaches [1,000,000 tokens](https://developers.google.com/gemini-code-assist/resources/quotas), which lets the assistant load substantial portions of a repository into a single prompt. In a large monorepo, developers can ask questions or request changes that span dozens of files without a separate retrieval step.

### [Copy link to heading](#agent-mode-and-customization)Agent mode and customization

Agent mode replaced the older "tools" system in October 2025 and now drives multi-file editing, multi-step tasks, and integration with [MCP servers](https://developers.google.com/gemini-code-assist/docs/overview). The agent runs locally inside the IDE and can call out to project-specific tools defined through MCP.

The Enterprise tier adds [code customization](https://docs.cloud.google.com/gemini/docs/codeassist/overview), which can index up to 20,000 private repositories from GitHub, GitLab, or Bitbucket for org-specific suggestions. That's how you teach Code Assist about house frameworks, internal SDKs, and naming conventions.

## [Copy link to heading](#key-differences-between-copilot-and-code-assist)Key differences between Copilot and Code Assist

The two assistants overlap on most surface features, but they take different paths to get there.

### [Copy link to heading](#model-variety-and-selection)Model variety and selection

Copilot's lineup spans O

*[Content truncated...]*

---

## 5. hesreallyhim/awesome-claude-code: A hand-picked ... - GitHub

**URL:** [https://github.com/hesreallyhim/awesome-claude-code](https://github.com/hesreallyhim/awesome-claude-code)  
**Score:** 0.6228

### Summary

created
last-commit
license
stars

Claude Code Safety Net by kenryu42 - A coding agent CLI hook that acts as a safety net, catching destructive git and filesystem commands before they execute. Supports Codex, Claude Code, OpenCode, Gemini CLI, Copilot CLI, Kimi Code and Pi.  
created  last-commit  license  stars

created
last-commit
license
stars

Cleat by cleatdev - Give the agent a cage, not your keys. One-command Docker sandbox for AI coding agents: full autonomous permissions, per-project isolation, your host stays untouched.  
created  last-commit  license  stars

created
last-commit
license
stars [...] created
last-commit
license
stars

Callimachus by BetaBots-LLC - One local, searchable index of your AI coding-agent history Claude Code, Codex, Cursor, Gemini & more. Keyword + semantic search, MCP server, CLI & VS Code extension.  
created  last-commit  license  stars

created
last-commit
license
stars

capy by serpro69 - 🦫 Privacy-first virtualization layer for LLM context with MCP protocol for tool access.  
created  last-commit  license  stars

created
last-commit
license
stars

Claude Mnemonic by lukaszraczylo - Memory management and retrieval for Claude Code  
created  last-commit  license  stars

created
last-commit
license
stars

### Full Content

## Navigation Menu

# Search code, repositories, users, issues, pull requests...

# Provide feedback

We read every piece of feedback, and take your input very seriously.

# Saved searches

## Use saved searches to filter your results more quickly

To see all available qualifiers, see our [documentation](https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax).

# hesreallyhim/awesome-claude-code

## Folders and files

| Name | | Name | Last commit message | Last commit date |
| --- | --- | --- | --- | --- |
| Latest commit   History[1,184 Commits](/hesreallyhim/awesome-claude-code/commits/main/)   1,184 Commits | | |
| [.github](/hesreallyhim/awesome-claude-code/tree/main/.github ".github") | | [.github](/hesreallyhim/awesome-claude-code/tree/main/.github ".github") |  |  |
| [README\_ALTERNATIVES](/hesreallyhim/awesome-claude-code/tree/main/README_ALTERNATIVES "README_ALTERNATIVES") | | [README\_ALTERNATIVES](/hesreallyhim/awesome-claude-code/tree/main/README_ALTERNATIVES "README_ALTERNATIVES") |  |  |
| [assets](/hesreallyhim/awesome-claude-code/tree/main/assets "assets") | | [assets](/hesreallyhim/awesome-claude-code/tree/main/assets "assets") |  |  |
| [data](/hesreallyhim/awesome-claude-code/tree/main/data "data") | | [data](/hesreallyhim/awesome-claude-code/tree/main/data "data") |  |  |
| [resources](/hesreallyhim/awesome-claude-code/tree/main/resources "resources") | | [resources](/hesreallyhim/awesome-claude-code/tree/main/resources "resources") |  |  |
| [scripts](/hesreallyhim/awesome-claude-code/tree/main/scripts "scripts") | | [scripts](/hesreallyhim/awesome-claude-code/tree/main/scripts "scripts") |  |  |
| [templates](/hesreallyhim/awesome-claude-code/tree/main/templates "templates") | | [templates](/hesreallyhim/awesome-claude-code/tree/main/templates "templates") |  |  |
| [tests](/hesreallyhim/awesome-claude-code/tree/main/tests "tests") | | [tests](/hesreallyhim/awesome-claude-code/tree/main/tests "tests") |  |  |
| [ticker](/hesreallyhim/awesome-claude-code/tree/main/ticker "ticker") | | [ticker](/hesreallyhim/awesome-claude-code/tree/main/ticker "ticker") |  |  |
| [.gitignore](/hesreallyhim/awesome-claude-code/blob/main/.gitignore ".gitignore") | | [.gitignore](/hesreallyhim/awesome-claude-code/blob/main/.gitignore ".gitignore") |  |  |
| [.pre-commit-config.yaml](/hesreallyhim/awesome-claude-code/blob/main/.pre-commit-config.yaml ".pre-commit-config.yaml") | | [.pre-commit-config.yaml](/hesreallyhim/awesome-claude-code/blob/main/.pre-commit-config.yaml ".pre-commit-config.yaml") |  |  |
| [CODE\_OF\_CONDUCT.md](/hesreallyhim/awesome-claude-code/blob/main/CODE_OF_CONDUCT.md "CODE_OF_CONDUCT.md") | | [CODE\_OF\_CONDUCT.md](/hesreallyhim/awesome-claude-code/blob/main/CODE_OF_CONDUCT.md "CODE_OF_CONDUCT.md") |  |  |
| [CONTRIBUTING.md](/hesreallyhim/awesome-claude-code/blob/main/CONTRIBUTING.md "CONTRIBUTING.md") | | [CONTRIBUTING.md](/hesreallyhim/awesome-claude-code/blob/main/CONTRIBUTING.md "CONTRIBUTING.md") |  |  |
| [LICENSE](/hesreallyhim/awesome-claude-code/blob/main/LICENSE "LICENSE") | | [LICENSE](/hesreallyhim/awesome-claude-code/blob/main/LICENSE "LICENSE") |  |  |
| [Makefile](/hesreallyhim/awesome-claude-code/blob/main/Makefile "Makefile") | | [Makefile](/hesreallyhim/awesome-claude-code/blob/main/Makefile "Makefile") |  |  |
| [README.md](/hesreallyhim/awesome-claude-code/blob/main/README.md "README.md") | | [README.md](/hesreallyhim/awesome-claude-code/blob/main/README.md "README.md") |  |  |
| [SECURITY.md](/hesreallyhim/awesome-claude-code/blob/main/SECURITY.md "SECURITY.md") | | [SECURITY.md](/hesreallyhim/awesome-claude-code/blob/main/SECURITY.md "SECURITY.md") |  |  |
| [THE\_RESOURCES\_TABLE\_NEW.csv](/hesreallyhim/awesome-claude-code/blob/main/THE_RESOURCES_TABLE_NEW.csv "THE_RESOURCES_TABLE_NEW.csv") | | [THE\_RESOURCES\_TABLE\_NEW.csv](/hesreallyhim/awesome-claude-code/blob/main/THE_RESOURCES_TABLE_NEW.csv "THE_RESOURCES_TABLE_NEW.csv") |  |  |
| [config.yaml](/hesreallyhim/awesome-claude-code/blob/main/config.yaml "config.yaml") | | [config.yaml](/hesreallyhim/awesome-claude-code/blob/main/config.yaml "config.yaml") |  |  |
| [generate\_readme.py](/hesreallyhim/awesome-claude-code/blob/main/generate_readme.py "generate_readme.py") | | [generate\_readme.py](/hesreallyhim/awesome-claude-code/blob/main/generate_readme.py "generate_readme.py") |  |  |
| [requirements-dev.txt](/hesreallyhim/awesome-claude-code/blob/main/requirements-dev.txt "requirements-dev.txt") | | [requirements-dev.txt](/hesreallyhim/awesome-claude-code/blob/main/requirements-dev.txt "requirements-dev.txt") |  |  |
| [requirements.txt](/hesreallyhim/awesome-claude-code/blob/main/requirements.txt "requirements.txt") | | [requirements.txt](/hesreallyhim/awesome-claude-code/blob/main/requirements.txt "requirements.txt") |  |  |
| View all files | | |

## Latest commit

## History

## Repository files navigation

[![Awesome Claude Code](/hesreallyhim/awesome-c

*[Content truncated...]*

---