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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
+ codex-api
+ rate-limits
+ usage-tracking
+ openai
+ reset-alerts
+ ai
coding
workflow
+ reset
+ planning
Superpowers is a software development tool that enhances coding agents by guiding them through a structured workflow. It starts with clarifying project goals and progresses through design, implementation, and testing, all while ensuring code quality and adherence to best practices. The system automatically activates relevant skills for each task, streamlining the development process.
- Structures the entire coding workflow around a spec conversation → implementation plan → TDD-driven subagent execution, rather than just letting an agent freestyle.
- Uses autonomous subagents with strict review gates so the agent can run largely unsupervised for extended periods without drifting from spec or quality standards.
- Auto-triggers context-specific skills (brainstorming, Git worktrees for isolation, systematic debugging) at the right stages instead of requiring manual invocation.
- Works across multiple platforms (Claude, Codex, OpenCode) and is open to community-contributed skills.
Boris Cherny shares his efficient setup for using Claude Code, highlighting the importance of customized workflows and verification processes. He details various strategies, such as running multiple sessions in parallel, using slash commands, and maintaining a shared repository for continuous improvement.
- Runs multiple Claude Code sessions in parallel across different git worktrees/branches to multiply throughput
- Relies heavily on custom slash commands to encode repeatable workflows instead of retyping instructions
- Emphasizes verification steps (tests, linting, review) as essential since Claude output isn't blindly trusted
- Maintains a shared team repo of prompts/commands so improvements to the workflow compound across the team