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Treetok shows the token count for Claude and OpenAI in a directory structure. I built it because this one folder I was working in filled up the context window quick, and wanted to know why. I could have used line count instead, but I wanted more precision.

Through it, I learned that the same files in Claude cost 20-30% more tokens than OpenAI. So the same 200k context window in Claude is similar to 150k in Codex.

The article discusses the challenges of writing clean, maintainable code and provides practical tips for developers to improve their coding practices. It emphasizes the importance of writing code that is easy to understand, test, and refactor, and offers guidance on techniques such as consistent naming conventions, modular design, and effective documentation.

A browser based air traffic control simulation where agentic AI acts as a control tower with an objective of landing airplanes.

It was developed as an experiment in exploring agentic AI capabilities for controlling multiple objects in an active space.

The results were spectacular as a single agent can not only land multiple airplanes, but it also prevents collisions with other airplanes in small busy spaces.

The article discusses the development of a custom HN (Hacker News) theme called HNSkins, which allows users to personalize the appearance of the Hacker News website. It highlights the key features and steps involved in creating and using the HNSkins tool.

This article explores the development of an AI system that can remember and build upon past interactions, enabling it to engage in more natural and contextual conversations. The author discusses the technical challenges and potential applications of this memory-enabled AI approach.

Tiny Lang UI is a lightweight and flexible user interface library for building modern web applications. It provides a simple and intuitive API for creating complex UI components and managing state, making it a convenient choice for developers looking to build efficient and responsive user interfaces.

Pingy is a cloud outage monitoring app that provides real-time alerts for cloud service disruptions, helping users stay informed about potential impacts on their business operations.

theagentmail.net is an email API for AI agents. One API call to create a real email address on a shared domain (@theagentmail.net). The motivation comes from building AI agent tools and hitting the same wall repeatedly. Agents need email for signups, verification codes, contacting people. But the options are all bad. Giving agents your personal inbox is a security nightmare. Buying domains means DNS records, DKIM setup, warmup periods, and it doesn't scale. Disposable email services get blocked by most providers. The hard part was preventing spam on a shared domain without manual review. The solution is karma. Sending an email costs 1 karma. Receiving a reply earns 2. Creating an account costs 10. Good agents that send useful emails and get replies sustain themselves. Spammers burn through karma and stop. It's a reputation system at the account level, no human review needed. Pricing is pay-as-you-go, $5 per 100 karma. No subscriptions, no monthly caps. You get 100 karma free to start. For context, the main competitor charges $20/mo for 10 inboxes and 10K emails. Stack is TypeScript on Deno Deploy, InstantDB for the database, PostHog for analytics. The SDK is on JSR. Happy to answer questions about the karma model or anything else.

The article discusses the potential impact of the Iran strikes on global gas prices, analyzing factors such as supply disruptions, geopolitical tensions, and market volatility that could contribute to price increases in the near future.

The article discusses a token compressor, a tool that can reduce the size of token-based data formats like JSON, while maintaining the structure and semantics of the original data. The compressor aims to improve the efficiency and performance of token-based data processing and transmission in various applications.

The article describes the development of a real-time strategy (RTS) game engine using the Rust programming language. It highlights the engine's features, including parallelized simulation, networking capabilities, and a custom scripting language for game logic.

The article discusses the potential impact of AI on the role of junior developers, suggesting that AI-powered tools may make their skills less valuable in the job market. It explores the concerns and challenges that this trend may present for both junior developers and the tech industry as a whole.

I built Zagora, a distributed fine-tuning platform that turns fragmented or mixed GPUs into a unified training cluster over standard internet (1Gbps).

The problem:

Most distributed training assumes homogeneous GPUs and high-bandwidth interconnects (NVLink/InfiniBand). On heterogeneous fleets over standard internet, tensor/data parallel approaches become communication-bound and fragile.

What Zagora does under the hood:

- Uses pipeline-style parallelism instead of heavy tensor synchronization.

- Passes only boundary activations between stages rather than full parameter sync.

- Assigns layers proportionally to GPU capability to reduce straggler idle time.

- Uses checkpoint-based recovery to tolerate worker crashes.

- Supports adapter-based fine-tuning (e.g., QLoRA) to reduce memory pressure.

Zagora currently supports managed runs (we provision GPUs in-region) and a BYOC mode where users run workers on their own infrastructure.

Limitations:

- Full-parameter fine-tuning is not supported yet.

- It won't beat an NVLink cluster on raw throughput.

- Cross-region training is still latency-sensitive.

- Heterogeneous nodes scheduling is an ongoing tuning problem.

IMPORTANT:

I'm currently running jobs manually, so it may take some time before training starts. However, I will run every submitted job.

Link: app.zagora.ai

I'd be interested in feedback from people who've worked on distributed training at scale.

Happy to answer technical questions.

The article discusses the development of RESharper, a high-performance regular expression library in F#. It highlights the challenges faced and the techniques used to optimize the library's performance, making it one of the fastest regex implementations available.

The article discusses Vee, an open-source, multi-platform video player application that supports a wide range of media formats and provides advanced features such as video processing, subtitle support, and a sleek user interface.

The article examines the growing role of the U.S. government in supporting domestic mining and mineral production, driven by concerns over supply chain vulnerabilities and national security. It explores the policy initiatives and investments aimed at boosting the country's self-sufficiency in critical minerals.

The article discusses the concept of being the bottleneck in your organization, highlighting how individual limitations can hinder team and company growth. It emphasizes the importance of identifying and addressing personal bottlenecks to unlock greater productivity and success for the entire organization.

A small nonprofit organization conducted a study on the effectiveness of ivermectin in treating COVID-19, filling a gap left by the FDA's inaction. The study's findings suggest that ivermectin could be a viable treatment option for COVID-19 patients.

CloudPriceCheck.com provides a comprehensive tool for comparing prices and features across major cloud service providers, helping users make informed decisions about their cloud infrastructure needs.

Researchers have developed a system that allows human brain cells grown on a computer chip to play the video game Doom, demonstrating the potential for using brain-computer interfaces to control complex tasks. The system provides insights into how the brain processes information and could have applications in areas such as prosthetics and neurodegenerative disease research.