AI Assisted Coding and Tools

Real-world experiences testing AI assisted coding and adopting AI tools into software development from Hacker News

Latest Discussions

Product Feedback4d ago

AI coding tools and productivity

The conversation critiques AI-powered coding assistance tools, debating their value compared to traditional code snippets. Participants discuss potential overreliance on AI-generated code, questioning whether it truly saves time or undermines thoughtful coding practices. The actionable insight is to carefully evaluate AI coding tools for genuine productivity gains while maintaining code quality and developer responsibility.

Join the thread - 3 comments

🔗 Where I'm at with AI

Experience Report10d ago

Practical use of AI agents in coding workflow

The original poster shares an experience using AI agents to quickly add a simple validation in code, highlighting a balanced view on AI hype and productivity gains, suggesting AI tools are helpful but not miraculous. Responses critique the approach's efficiency and reflect on deeper work satisfaction and potential accountability issues. The discussion emphasizes considering both productivity advantages and the value of deep engagement in problem-solving, advocating a nuanced use of AI tools in development.

Join the thread - 5 comments

🔗 After two years of vibecoding, I'm back to writing by hand [video]

Experience Report1d ago

AI-Driven Workflow Automation in Small Teams

This thread details a firsthand experience using OpenClaw AI to automate complex, multi-step workflows integrating various production systems for a small team. The original poster discusses how the AI rapidly evolved from basic text delivery to creating deployment pipelines, fixing production issues, and automating customer interaction tasks by leveraging API access to tools like Stripe, Gmail, and databases. The key insight is AI's ability to automate the 'glue work'—the coordination between disparate systems—which traditional automation struggled with. A responder highlights potential security concerns regarding broad AI access to sensitive data and suggests exploring architectures like BYOK to balance automation power with security. Key actionable insight is to carefully balance AI automation benefits with security strategies such as human-in-the-loop oversight or more secure key management systems when deploying AI with deep system access.

Join the thread - 2 comments

🔗 OpenClaw in Practice: A Small Team's Field Notes

Product Feedback7d ago

Sharing AI prompt techniques

The discussion revolves around a user expressing interest in the prompting methods used to achieve early success with an AI project. The responder indicates plans to publish detailed information via a blog post after ensuring privacy and confidentiality. The actionable insight is to monitor the blog post for a comprehensive guide on prompt engineering techniques.

Join the thread - 2 comments

🔗 One Human + One Agent = One Browser From Scratch

Technical Deep Dive7h ago

Using AI tools for project automation

The discussion focuses on leveraging AI models like Claude/GPT to automate the adaptation of skill and prompt repositories directly within projects, potentially making additional tooling redundant. Users explore methods to organize and manage AI skills efficiently through file structuring and symlinks, aiming for a streamlined and maintainable development workflow.

Join the thread - 2 comments

🔗 LNAI – Define AI coding tool configs once, sync to Claude, Cursor, Codex, etc.

General Discussion10d ago

AI coding productivity impact

Two participants are reflecting on their feelings about using AI to write code. Both emphasize how AI has made coding more productive for them, leading to hesitation about returning to manual coding. The key insight is the recognition of AI's significant productivity benefits, which could influence future coding practices and tools adoption.

Join the thread - 2 comments

🔗 After two years of vibecoding, I'm back to writing by hand [video]