Phoenix - Your AI AssistantBuild an OpenClaw Software Engineer agent for automated coding
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5 days
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What you get with this Offer
Speed up your development lifecycle by deploying OpenClaw as an autonomous Software Engineering (SWE) agent. I configure a highly secure, sandboxed AI developer that integrates directly with your codebase to handle routine programming tasks, code reviews, and bug fixes.
Your agent will monitor your repositories, read assigned issues, write the necessary code or unit tests, and automatically submit Pull Requests for your senior team to review. It acts as an incredibly fast junior developer that never sleeps, saving your agency massive amounts of time and resources.
Core Deliverables:
• Secure, sandboxed OpenClaw deployment for safe code execution
• Direct GitHub/GitLab repository integration
• Automated issue tracking and Pull Request generation
• AI-driven code review and syntax debugging setup
• Seamless connection to your preferred LLM (OpenAI, Anthropic)
Secure Dev Environment Setup:
• Strict container isolation to prevent accidental system changes
• Read-only production access with write-only access to specific git branches
• Integration with your existing CI/CD testing pipelines
• Webhook configuration for real-time Slack/Discord progress updates
FAQ:
• Will this AI break my production codebase?
>> No. The agent is strictly configured to operate on isolated feature branches. It only submits Pull Requests; a human on your team must still review and approve the merge.
• What programming languages can it handle?
>> It is highly proficient in modern stacks including Next.js, React, Python, Django, and Tailwind CSS, but can adapt to almost any language supported by modern LLMs.
• Can it write unit tests for existing code?
>> Yes. You can configure the agent to automatically read existing files and generate comprehensive test suites to improve your code coverage.
Project Steps:
1. We define the specific coding tasks and repositories the agent will access.
2. I deploy the isolated OpenClaw environment on your server.
3. I connect the agent to your Git provider and configure the branch rules.
4. We run sandbox tests with sample GitHub issues to verify the code output.
Your agent will monitor your repositories, read assigned issues, write the necessary code or unit tests, and automatically submit Pull Requests for your senior team to review. It acts as an incredibly fast junior developer that never sleeps, saving your agency massive amounts of time and resources.
Core Deliverables:
• Secure, sandboxed OpenClaw deployment for safe code execution
• Direct GitHub/GitLab repository integration
• Automated issue tracking and Pull Request generation
• AI-driven code review and syntax debugging setup
• Seamless connection to your preferred LLM (OpenAI, Anthropic)
Secure Dev Environment Setup:
• Strict container isolation to prevent accidental system changes
• Read-only production access with write-only access to specific git branches
• Integration with your existing CI/CD testing pipelines
• Webhook configuration for real-time Slack/Discord progress updates
FAQ:
• Will this AI break my production codebase?
>> No. The agent is strictly configured to operate on isolated feature branches. It only submits Pull Requests; a human on your team must still review and approve the merge.
• What programming languages can it handle?
>> It is highly proficient in modern stacks including Next.js, React, Python, Django, and Tailwind CSS, but can adapt to almost any language supported by modern LLMs.
• Can it write unit tests for existing code?
>> Yes. You can configure the agent to automatically read existing files and generate comprehensive test suites to improve your code coverage.
Project Steps:
1. We define the specific coding tasks and repositories the agent will access.
2. I deploy the isolated OpenClaw environment on your server.
3. I connect the agent to your Git provider and configure the branch rules.
4. We run sandbox tests with sample GitHub issues to verify the code output.
What the Freelancer needs to start the work
1. SSH access to the server where the agent will be hosted.
2. Developer tokens for your Git repository (GitHub, GitLab, etc.).
3. API credentials for the LLM you want to power the agent.
4. A brief overview of your tech stack and repository structure.