Developer Builds AIM-Style Buddy List to Track Claude and Codex API Rate Limits

·8 views

A developer has created a nostalgic project called 'Die With Me' that displays AI API usage limits as AIM-style away messages. The tool visualizes rate limit and token usage data for Claude and OpenAI's Codex in the format of the classic AOL Instant Messenger buddy list. The creator was motivated by a desire to bring back the casual, social feel of early internet culture. The project was shared on Hacker News, where it received early feedback from the community.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

TypeSafe's Jev Model Scores Mid-Pack Chess Elo at $0.0015 Per Game

TypeSafe's Jev is an unconventional AI model that accepts structured inputs with predefined label options and returns probabilistic classifications, rather than generating free-form text. A developer tested Jev on the LLM Chess benchmark by framing each move selection as a Choice query over all legal UCI moves, allowing it to participate in the same evaluation harness used for standard chat models. Jev achieved an Elo rating of approximately 243, placing it near mid-tier reasoning models like o4-mini-medium, while completing games in around 36 seconds at roughly $0.0015 each — far cheaper than its leaderboard neighbors. The model maintained a consistent 50% draw rate against a chess engine across three difficulty levels, with zero illegal moves or protocol failures, highlighting the reliability of its typed, constrained output format. TypeSafe itself does not pursue public benchmarks, so this represents an independent external evaluation showing Jev performs well on tasks involving selection from a fixed list of options.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How to Build a Reliable Performance Test for Beauty AR Sessions in TypeScript

A Beauty AR proof of concept may perform flawlessly in short demos but fail under real-world sustained usage, making rigorous testing essential before shipping. Effective testing requires running representative effect combinations over extended sessions to detect gradual performance degradation, not just measuring average frame rates. Developers should define test cases based on actual product configurations — such as baseline, common, expensive, and recovery profiles — rather than synthetic stress tests that don't reflect user behavior. Device tiers should be maintained using real-device benchmarks rather than user-agent strings, with an unknown tier defaulting to conservative settings. A TypeScript-based testing framework using a platform-agnostic adapter is recommended to keep SDK-specific calls separate and portable across target platforms.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

BS9 Is an Open-Source Self-Healing Process Manager Built for Bun

A developer has released BS9 (Bun Sentinel 9), an open-source process supervisor and high-availability clustering manager designed specifically for the Bun JavaScript runtime. The tool addresses common production challenges such as zero-downtime reloads, fault tolerance, and cross-platform daemon management that existing tools like PM2 handle poorly for Bun. BS9 uses a Replace-First reload strategy that spins up a new worker, confirms its readiness, drains in-flight requests, and only then shuts down the old process to avoid dropped traffic. It also includes a built-in State Hub with write-ahead logging and compare-and-swap primitives, eliminating the need for an external Redis cluster. A built-in chaos-testing command, verify-ha, lets developers stress-test their applications with simulated crashes and rolling reloads to measure latency and availability.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Kubernetes Sits Above VMs, Not in Place of Them, Experts Clarify

A common misconception in enterprise IT holds that Kubernetes replaced virtual machines, but the two technologies operate at different architectural layers and are designed to coexist. Kubernetes functions as an application-level control plane, handling workload scheduling, reconciliation, and service discovery, while virtualization continues to manage compute abstraction underneath. The real shift was not a replacement of VMs but a consolidation of fragmented application management responsibilities into a single higher-level system. Before Kubernetes became standard, tasks like application placement and lifecycle management were split across VM tooling, platform scripts, and manual operator decisions. Misunderstanding this distinction can lead organizations to make flawed platform transition decisions, such as focusing on replacing a hypervisor while overlooking the broader operating model that depends on it.

0 comments Read more at DEV Community