CTXLENS analyzes AI context window token usage for developers

By PulseAugur Editorial · [1 sources] · 2026-07-31 04:28

CTXLENS is a developer tool designed to analyze codebase token usage for AI context windows, functioning similarly to the `du` command for disk space. It helps developers understand if their projects fit within the context limits of various AI models, identifies token-heavy files, and simulates the impact of changes like stripping comments. The tool supports 23 models from 7 providers, including Claude, GPT-4o, and Grok, and offers features like real-time monitoring and CI integration for budget checks. While its necessity has decreased with the advent of larger context windows in frontier models, it may still be valuable for users running local LLMs with more constrained environments. AI

IMPACT Helps developers manage costs and efficiency when using LLMs with limited context windows.

RANK_REASON This is a developer tool release, not a frontier model release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; This is a developer tool release, not a frontier model release or significant industry event.
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AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
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COVERAGE [1]

dev.to — LLM tag TIER_1 Norsk(NO) · kVadrum · 2026-07-31 04:28

CTXLENS - like du for tokens

Does my codebase fit in context? This is one of the first dev tools I created - for me was in the "Openclaw days" - early February into March of this year, was using Codex and some local Ollama; where I kept hitting the wall: context limits were rigid a…

How we ranked this

COVERAGE [1]

CTXLENS - like du for tokens

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