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QuickReset AI tracks OpenAI's public Codex usage resets by monitoring Tibo's announcements and historical patterns, letting you see when resets happen and get email alerts before your allowance refreshes. It separates confirmed schedules, public signals, and historical forecasts so you can plan around rate limit resets without guessing.
- Tracks 26 weeks of Codex reset history with source-linked announcements from @tibo, showing direct resets (immediate refills) and banked resets (saved credits) separately
- Generates a daily forecast based on recent reset intervals and public signals, currently showing 35% chance for the next reset
- Sends email alerts when resets approach so you can use remaining allowance before limits refresh
- Only reports public bonus events and cannot trigger, grant, or sell resets — forecasts are estimates, not guarantees
Learn how to create a code review agent using the Claude Agent SDK, which allows developers to build custom AI agents capable of analyzing codebases for bugs and security issues. The guide provides step-by-step instructions, from setting up the environment to implementing structured output and handling permissions.
- The Claude Agent SDK can be used to build a custom code review agent that scans codebases for bugs and security issues
- The guide walks through the full build process: environment setup, structured output implementation, and permission handling
In a podcast discussion, predictions for the tech industry in 2026 are shared, highlighting the undeniable improvement of LLMs in writing code, advancements in coding agent security, and the potential obsolescence of manual coding. Other predictions include a successful breeding season for Kākāpō parrots and the implications of AI-assisted programming on software engineering careers.
- LLMs will keep getting undeniably better at writing code through 2026, shifting more programming work to coding agents
- Security around coding agents will become a major focus as they gain more autonomy and access to systems
- Manual hand-coding may start becoming obsolete for significant portions of software engineering work, reshaping the profession
- Kākāpō parrots are predicted to have a successful breeding season in 2026
Claude Opus 4.5 is launched as a cutting-edge AI model designed for coding, research, and office tasks. It boasts significant improvements in efficiency, reasoning, and task management, making it accessible for developers and enterprises at a competitive price. The model excels at complex workflows, demonstrating advancements in self-improving abilities and safety measures.
- Claude Opus 4.5 is priced more competitively than previous Opus models, lowering the barrier for developers and enterprises to adopt it
- The model shows notable gains in coding, research, and office/agentic task performance compared to earlier Claude versions
- It demonstrates improved efficiency and reasoning on complex, multi-step workflows
- Anthropic highlights advances in self-improving capabilities alongside continued safety measures
Anthropic's new coding model, Opus 4.5, is praised as the most advanced tool for programming, capable of producing user-focused plans and reliable code without hitting limitations. While it excels in coding and writing, it has minor flaws in editing, highlighting the ongoing evolution in AI coding models.
- Opus 4.5 produces user-focused plans and reliable code without hitting the usual limitations seen in prior models
- Strongest performance is in coding and writing tasks
- Editing tasks reveal minor flaws, showing the model isn't uniformly perfect across all use cases