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Wasted Cycles

Wasted Cycles

Open-source local profiler for tracking AI coding agent execution and latency.

Wasted Cycles

About this tool

Wasted Cycles is an open-source local wall-clock profiler designed specifically for monitoring AI coding agents. Built for software engineers, it measures time spent in LLM reasoning, local file inspection, terminal execution, and API latency during agentic coding sessions. Developers use Wasted Cycles to identify performance bottlenecks in AI coding tools, evaluate prompt overhead, and track token usage trends across complex multi-file refactoring tasks. By providing granular breakdown charts, it helps teams optimize agent configurations and reduce developer wait times. For FutureStack, Wasted Cycles belongs in Developer Tools because it provides local profiling and latency monitoring infrastructure for AI engineering workflows. It is best for software engineers and AI developers tuning local agent performance.

Best for

Profiling local AI coding agents, measuring API latency, and optimizing developer workflows.

Key Features

  • Real-time wall-clock execution profiling for AI coding agent tasks
  • Granular breakdown of LLM reasoning time versus terminal execution
  • Local dashboard for inspecting agent token consumption and latency
  • Open-source integration with local CLI developer tools

Pricing summary

Wasted Cycles is a free, open-source local profiling tool with no software fees.

Pricing Plans

Popular

Open Source

Full access to the local profiling environment.

Free
  • Full profiling tools
  • Local dashboard
  • Token tracking
  • Community updates

Developer

Custom configurations for engineering setups.

Free
  • Custom event hooks
  • Local log storage
  • Multi-agent profiling
  • Terminal command tracking

Self-Hosted

Enterprise local installation for private repositories.

Free
  • Private repo support
  • Local telemetry storage
  • Custom metrics export
  • Open-source control

Other pricing notes

  • Pricing checked on 2026-07-31 from the official repository documentation.
  • The profiling software is free under an open-source license.
  • No paid cloud tiers or subscription plans are required.
Pricing last checked: July 2026Official pricing page

Pros & Cons

Pros

  • Provides transparent performance profiling for agentic coding workflows
  • Helps developers pinpoint slow model calls and terminal bottlenecks
  • Completely free and open-source software with local data control
  • Simple local installation requiring no complex server setup
  • Useful for benchmarking different LLM backends and agent prompts

Cons

  • Requires local setup and command-line configuration
  • Focused specifically on developer profiling rather than general users
  • Advanced telemetry customization requires editing local Python scripts
  • Metrics are stored locally and require export for team sharing
  • Initial release stages with ongoing community updates

FAQs

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