Ideas Worth Exploring: 2025-04-03
- Charles Ray
- Apr 3
- 4 min read
Ideas: Website - pico.sh
pico.sh allows users to publish content without needing to install anything. The platform enables developers to rapidly probate type on the web and share their projects with the world.
It can host static sites and public web services, stream data between computers, serve data using SSH, and more. pico.sh was designed to be like a hacker lab where developers can experiment with new ways to interact with the web.
Features
Fully manage static sites using ssh
Distinct static sites as projects
Unlimited projects, created instantly upon upload
Deploy using rsync, sftp, or scp
Automatic TLS for all projects
Github action
Promotion and rollback support
Site analytics
Custom domains for projects
Custom redirects and rewrites
Custom headers
SPA support
Image manipulation API
Multi-region support
Private projects
No bandwidth limitations
Ideas: Verdi Kapuku - The Death of the Software Engineer by a Thousand Prompts
Verdi Kapuku discusses ideas related to the impact of AI on the role of software engineering. The Verdi Kapuku argues that as AI improves, it will fragment the role into two categories: low-skilled coders who use AI to create code and a few specialists who will unblock the coders when they encounter issues or address performance bottlenecks for production-scale.
Verdi Kapuku contends that AGI (Artificial General Intelligence) is grossly oversold, and we are not close to its invention. Instead, the future is expected to be a partnership between humans and AI systems, where AI systems will perform most of the generic work in various job functions while being directed by humans.
Verdi Kapuku warns that software engineers should not underestimate the threat posed by AI. While AI may not entirely replace human roles, it can deliver 80% of a software engineer's output at 20% of their cost, leading to job displacement. The author compares this situation to the decline of the typesetting industry due to desktop publishing software.
The article suggests that software engineers should adapt by becoming experts in architecture and system design or investing in soft skills to manage groups of semi-coders. Verdi Kapuku concludes that while the future may be bleak for complacent software engineers, it presents opportunities for those willing to adapt and stay ahead learning to adapt to the changes now and ahead.
Ideas: Alexander T. Williams - How AI Agents Are Quietly Transforming Frontend Development
Alexander Williams discusses the increasing role of AI agents in frontend development, transitioning from simple tools like autocomplete and linters to proactive, goal-oriented systems that can suggest improvements, refactor code, and even implement design changes.
These AI agents are helping developers save time, delegate decision-making, and focus on higher-level problems. They can analyze user data, optimize performance, and make UX recommendations based on live user behavior. However, the use of AI agents comes with challenges such as ensuring transparency, setting boundaries, and preserving design intent.
The future of frontend development may involve AI-driven feature flags, real-time A/B testing, and multi-agent systems that work together like a tiny scrum team of bots. As these agents become more context-aware and intelligent, they will change the definition of frontend development from pushing pixels or writing JSX to orchestrating intelligent systems that collaborate with humans to create innovative user experiences.
GitHub Repos: MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
MedReason is a large-scale high-quality medical reasoning dataset designed to enable faithful and explainable medical problem-solving in large language models (LLMs).
The authors utilize a structured medical knowledge graph (KG) to convert clinical QA pairs into logical chains of reasoning, or “thinking paths”.
The authors' pipeline generates detailed reasoning for various medical questions from 7 medical datasets, resulting in a dataset of 32,682 question-answer pairs, each with detailed, step-by-step explanations. By finetuning with proposed MedReason dataset, MedReason-8B, achieves state-of-the-art performance.
Ideas: Charles Rollet - The hottest AI models, what they do, and how to use them
AI models are being cranked out at a dizzying pace, by everyone from Big Tech companies like Google to startups like OpenAI and Anthropic. Keeping track of the latest ones can be overwhelming.
Adding to the confusion is that AI models are often promoted based on industry benchmarks. But these technical metrics often reveal little about how real people and companies actually use them.
To cut through the noise, TechCrunch has compiled an overview of the most advanced AI models released since 2024, with details on how to use them and what they’re best for. There are literally over a million AI models out there: Hugging Face, for example, hosts over 1.4 million.
Ideas: Ibrahim Diallo - The Reality of Working in Tech: We're Not Hired to Write Code
Ibrahim Diallo reflects on their experiences with the fast-paced tech industry, focusing on how companies prioritize delivering products and features over maintaining specialized code. Ibrahim Diallo 's ex-coworker, a .Net developer, quit due to new work policies that targeted him, leading to the temporary shutdown of multiple money-making websites.
The article also touches upon the Ibrahim Diallo's own experiences as a JavaScript developer. Despite being the go-to person for code implementation and testing, his role gradually diluted as the company phased out .Net and adopted new technologies such as jQuery and Angular. His custom tools and an A/B testing suite were replaced with third-party offerings, and when a new manager came in, they implemented VWO instead of Ibrahim Diallo's work.
Ibrahim Diallo argues that while coding skills are important, they are not the primary focus in the tech industry. Instead, developers are expected to build and maintain the company's products and features, regardless of their specializations. The article concludes by suggesting that while it might not be as fun or inspiring as the programming world is often portrayed, the reality is that developers are not primarily hired to write code but to deliver results in the form of functional products.
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