I built an autonomous coding agent that improved our production codebase from 5.8/10 to 8.8/10 overnight while I slept. Here's what happened: We're building a fintech platform. Last week I ran a production readiness audit and scored 5.8/10 across security, reliability, testing, infrastructure, observability, code quality, and compliance. 13 critical blockers. Instead of grinding through them manually, I built Cloud Coder: a system that takes a YAML task queue and feeds each task to the local Claude CLI sequentially. Define your tasks, start the runner, go to bed. Night 1: 20 tasks. CSP headers, rate limiting, error boundaries, timeout guards, structured logging. Score jumped to 7.1. Then I added the audit-fix loop. Claude audits the codebase, scores it, generates fix tasks for every gap, executes them, and re-audits. It keeps cycling autonomously until it hits the target. 5 rounds later: 160+ tasks completed. Score: 8.8/10. Zero human intervention after pressing enter. The whole thing is ~500 lines of bash. No API key needed (uses Claude Max). No cloud infra. Just your local CLI and a YAML file. I'm open-sourcing it as a Claude Code plugin. The interesting insight: the code itself isn't the moat. It's the pattern. Use an LLM to score your codebase, generate remediation tasks, execute them, and re-score. Works for any quality dimension you can define. lmk if you like it. putting in a plugin for community and official release app to see how this goes. I'll try to run the auto-improver on itself so the tool itself keeps improving. Try it: https://lnkd.in/gee9d9Ax #ClaudeCode #AI #DevTools #Automation #OpenSource
Autonomous Coding Agent Boosts Codebase Score to 8.8/10
More Relevant Posts
-
If it Isn’t Code, it’s Just Advice When you ask an AI coding agent how to solve a problem, it reaches for code. That’s not just a preference – code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks. We’ve spent the last decade pushing more of our systems into code: Configuration, infrastructure, and of course, application logic....
-
If it Isn’t Code, it’s Just Advice When you ask an AI coding agent how to solve a problem, it reaches for code. That’s not just a preference – code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks. We’ve spent the last decade pushing more of our systems into code: Configuration, infrastructure, and of course, application logic....
-
If it Isn’t Code, it’s Just Advice When you ask an AI coding agent how to solve a problem, it reaches for code. That’s not just a preference – code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks. We’ve spent the last decade pushing more of our systems into code: Configuration, infrastructure, and of course, application logic....
-
If it Isn’t Code, it’s Just Advice When you ask an AI coding agent how to solve a problem, it reaches for code. That’s not just a preference – code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks. We’ve spent the last decade pushing more of our systems into code: Configuration, infrastructure, and of course, application logic....
-
If it Isn’t Code, it’s Just Advice When you ask an AI coding agent how to solve a problem, it reaches for code. That’s not just a preference – code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks. We’ve spent the last decade pushing more of our systems into code: Configuration, infrastructure, and of course, application logic....
-
If it Isn’t Code, it’s Just Advice When you ask an AI coding agent how to solve a problem, it reaches for code. That’s not just a preference – code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks. We’ve spent the last decade pushing more of our systems into code: Configuration, infrastructure, and of course, application logic....
-
If it Isn’t Code, it’s Just Advice When you ask an AI coding agent how to solve a problem, it reaches for code. That’s not just a preference – code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks. We’ve spent the last decade pushing more of our systems into code: Configuration, infrastructure, and of course, application logic....
-
Dynatrace expands AI Coding Agent monitoring for Claude Code, Google Gemini CLI, Codex CLI, OpenCode, and GitHub Copilot SDK. Read the blog for more details! https://lnkd.in/e4Fwak9G
-
A Virtual Agent team at Docker: How the Coding Agent Sandboxes team uses a fleet of agents to ship faster I work on Coding Agent Sandboxes, aka “sbx” at Docker. The project provides secure, microVM-based isolation for running AI coding agents like Claude Code, Gemini, Codex, Docker Agent and Kiro. Agents get full autonomy inside a sandbox (their own Docker daemon, network, filesystem) without touching your host system. Over the past couple of weeks, we built something on top of it: a virtual team of seven AI agent roles that test the product, triage issues, post release notes, and even fix bugs, all running autonomously in CI....
-
I fixed the windows: Not Really lol Coding agents will stand in front of you with a straight face and say I fixed the window and if you were to look right behind them you'll see that the window is completely messed up and is nowhere near being 'fixed'! This is scary!!! For any enterprise this is a huge liability!!! I leveraged human ai experts and also claude code, codex, Antigravity and grok to help take patent applications into a finished product. You see at the heart of this one solution is an innovation called the Enterprise Context Fabric (ContextECF). → Try it: npm install -g @codeledger/cli → See it: demo.codeledger.dev → Read it: codeledger.dev #EngineeringIntelligence #AITooling #DeveloperExperience #ContextEngineering #CodeLedger And If ContextECF CodeLedger does what it says it does it will be a blessing to sw developers and teams. CodeLedger helps developers give the coding agent a concise prompt (we have so much innovations in this step alone; ontology packs of industry best practices), audits and verifies what it says it did and stores the lessons learned for everyone on the team and for future team members. These lessons form a new institutional asset class: how we build software around here and also maps of what we built for faster onboarding of new team members and also compliance teams. Please share with software professionals. Zero risk. Zero cloud. And they can see a living demo first at demo.codeledger.dev it's a github repo with codeledger running on top of it using synthetic developers..if you're a developer you run some CodeLedger commands there and see the results of your work. Please like and share. Happy Friday. Anthropic OpenAI Cursor Google Antigravity xAI
-
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development