Coding Agent Αναμέτρηση — 20 Ιουνίου 2026

1

Devra

Autonomous AI software developer that updates code, docs, and tests from assigned tasks.

4.2 (5)

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Πλήρης κριτική

Devra is an AI software engineer designed to take on development tasks and complete them end-to-end. Given a ticket or instruction, it can modify code across a repository, refresh related documentation, and write or adjust unit tests to keep the project consistent. It aims to function like a junior teammate that works asynchronously, picking up well-scoped tasks and opening changes for human review. This lets engineering teams offload routine maintenance, refactors, and incremental feature work while staying in control through standard code review workflows.

• Autonomous task execution
• Multi-file code updates
• Automatic documentation edits
• Unit test generation and updates
• Integration with developer workflows
• Asynchronous task handling

2

Shipper.now

Generate complete, deployable apps from a single natural-language prompt.

4.8 (4)

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Πλήρης κριτική

Shipper.now is an AI-powered app builder that turns a single prompt into a working application. Instead of scaffolding projects manually, users describe what they want and the tool generates the codebase, UI, and core logic in one pass. It targets founders, indie hackers, and product teams who need to move from idea to prototype quickly. By collapsing setup, boilerplate, and initial implementation into a single step, Shipper.now aims to shorten the path between concept and shippable product.

• Single-prompt app generation
• Full-stack code output
• Built-in UI scaffolding
• Rapid prototyping workflow
• Natural-language project specification

3

devlo AI

AI teammate that automates coding tasks across your repos and dev workflows

5.0 (4)

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Πλήρης κριτική

devlo AI is a software development platform that acts as an AI teammate embedded in your engineering workflow. It connects to source control and issue trackers to help teams tackle bugs, write tests, review pull requests, and ship smaller tasks without context switching. Designed to plug into existing tools like GitHub, devlo can be assigned issues or PRs much like a human collaborator. It analyzes repository context, proposes code changes, and opens pull requests for review, aiming to reduce the time engineers spend on routine maintenance work. The platform is targeted at development teams looking to offload repetitive tasks, accelerate code review, and improve test coverage while keeping humans in control of final merges.

• Automated bug fixing and code changes
• Pull request review assistance
• Test generation and coverage improvements
• GitHub and issue tracker integration
• Repo-aware code understanding
• Assignable AI teammate workflow

4

Floot

AI-powered no-code builder for turning plain-language prompts into working apps and websites.

5.0 (5)

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Πλήρης κριτική

Floot is an AI app and website builder designed for 'vibe coding'—describing what you want in natural language and letting the platform generate a functional product. It targets makers, founders, and non-technical creators who want to ship working software without writing code from scratch. Users can prompt Floot to scaffold full applications, iterate on designs, and adjust functionality through conversation. The tool handles UI generation, basic logic, and deployment steps, aiming to compress the path from idea to live app. It fits early-stage prototyping, internal tools, landing pages, and MVPs where speed matters more than custom-engineered architecture.

• Natural-language app generation
• No-code visual editing
• Website and web app support
• Conversational iteration on designs
• Built-in deployment
• Templates for common use cases

5

Jules

Google's asynchronous AI coding agent that tackles bugs and tests inside your GitHub workflow.

5.0 (4)

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Πλήρης κριτική

Jules is an asynchronous coding agent from Google designed to take on routine software engineering tasks without constant developer supervision. It plugs into GitHub repositories, reads the codebase, and works through assigned issues such as bug fixes, refactors, dependency updates, and test creation in the background. Rather than acting as a chat-based pair programmer, Jules operates more like a remote teammate: you hand it a task, it plans an approach, executes changes in an isolated environment, and returns a pull request for human review. This makes it well suited for offloading maintenance work while developers focus on higher-impact problems. Because it runs asynchronously and integrates with existing review processes, teams can use Jules to parallelize work across multiple issues and keep humans in control through standard PR workflows.

• Autonomous task execution in isolated environments
• Pull request-based change delivery
• Automated bug fixing and patching
• Unit test generation and updates
• Dependency and version upgrades
• GitHub repository integration

6

K G

Fullstack AI coding agent that understands your entire codebase end-to-end.

4.3 (4)

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Πλήρης κριτική

K G is an AI coding agent designed to work across the full stack while maintaining context of your existing codebase. Rather than generating isolated snippets, it reasons about project structure, dependencies, and conventions to produce changes that fit your application. It aims to handle tasks that span frontend, backend, and infrastructure layers, helping developers implement features, refactor code, and debug issues without manually feeding context into a chat window. By indexing the repository, it can navigate, edit, and explain code in a way that aligns with how the project is actually built.

• Repository indexing and context awareness
• Fullstack code generation
• Multi-file edits and refactors
• Integrated debugging assistance
• Works across frontend and backend
• Natural language task input