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Better Task Management in Roam Research
a day ago
- The Magic List system helps prioritize daily tasks in Roam Research, focusing on what makes a day successful.
- Three pillars: understanding the Magic List, setting up queries, and following a 3-step process: Collect, Prioritise, Execute.
- Queries filter tasks into four categories: Recently assigned (inbox), Today (Magic List), Upcoming, and Later.
- Daily routine: collect tasks from inboxes and projects in the morning, prioritise by moving tasks to Today, and execute by tackling big tasks first.
- The system reduces decision fatigue, emphasizes output over time, and uses the Roam Research sidebar as a guide.
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
a month ago
- TaskPeace is a mission control system for AI coding agents, providing a single ranked queue for agents to pull work from and a live cockpit for monitoring.
- It uses Model Context Protocol (MCP) or REST API to allow agents like Claude Code, Cursor, and ChatGPT to autonomously get tasks, execute them, and report back, maintaining human oversight.
- The platform aims to solve collaboration bottlenecks by ensuring agents work on the right tasks in order with proper context, featuring cloud and local modes, with free tier limits and a Pro plan at $10/month.
Understanding the Linux Kernel: The Scheduler
a month ago
- The Linux scheduler manages CPU allocation, determining which task runs next on each core, balancing speed and fairness.
- It schedules task_struct objects, representing execution flows, with processes and threads being the same internally but differing in shared resources.
- Linux uses scheduling classes in a priority order: stop, deadline, rt (real-time), fair, ext, and idle, with fair handling most common workloads.
- Tasks stop running by either voluntarily blocking (e.g., waiting for I/O) or being preempted via the TIF_NEED_RESCHED flag, with switches occurring at safe points like returning to user space.
- Preemption is triggered by the periodic timer tick or wakeups, where a newly runnable task may be deemed more deserving than the current one.
- Context switches involve saving/loading CPU state and can incur significant costs due to cache and TLB invalidation, leading the scheduler to minimize unnecessary switches.
- The fair class uses the EEVDF (Earliest Eligible Virtual Deadline First) algorithm, based on virtual runtime, eligibility, and virtual deadlines to ensure fairness and low latency.
- Virtual runtime (vruntime) adjusts real time by task weight (from nice values), with heavier tasks having slower vruntime progression, granting them more CPU share.
- Eligibility ensures tasks only run if they are not ahead of their fair share (based on average vruntime), preventing starvation.
- Tasks receive a virtual deadline from their vruntime plus slice (converted by weight), with the scheduler picking the eligible task with the earliest deadline, favoring shorter slices for better latency.

Hasty Briefsbeta

task management

Better Task Management in Roam Research

Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP

Understanding the Linux Kernel: The Scheduler