Developers are increasingly reporting a decline in Claude Code's usefulness for programming, citing issues with library understanding and instruction adherence. Discover observed trends, potential causes, and alternative AI tools like Codex that some are finding more effective.
Explore the challenges and productive uses of AI in software development, from managing low-quality generated code to leveraging LLMs for TDD and workflow optimization. Discover how developers are adapting to maintain code quality and boost productivity with AI tools.
Discover practical strategies to identify genuine job candidates amidst a surge of AI-generated applications, including in-person checks, strategic friction points, and network-based hiring.
Discover a curated list of Single File Web Apps, understand the crucial distinction between client-side-only and server-backed applications, and explore inspiring examples for portable web tools.
Many users report a significant decline in GPT-5's performance, citing increased hallucinations, slower responses, and a frustrating user experience. Explore the community's shared concerns and potential reasons behind these issues.
Explore the fascinating concept of a computer program that autonomously browses the internet, directed by information itself rather than pre-programmed logic or conventional AI methods. Discover the challenge of creating a truly self-directing digital explorer.
Explore practical strategies for building confidence in open-source software and hardware, covering everything from reproducible builds and dependency management to mitigating hardware firmware risks. Learn how to minimize blind trust in your computing environment.
Discover how to find forgotten AI CLI tools like Octofriend using advanced search techniques, browser history, and platform-specific searches for effective software discovery.
Explore the parallels between Stack Overflow's decline and current challenges faced by other large community platforms, focusing on moderation, bot infiltration, and user experience decay. Discover insights into the future of online interactions and where communities might migrate next.
Explore the primary reasons local LLMs haven't achieved widespread use, from hardware limitations and cost to evolving cloud privacy solutions and superior hosted model performance. Discover where local models still find their niche.