Articles
Practical guides on cutting the token usage of AI coding agents — Claude Code, Cursor, Codex, Copilot, Windsurf — without losing any capability.
Best Open-Source AI Coding Agents (2026)
A tested, criteria-driven ranking of the open-source AI coding agents that actually ship in 2026 — Aider, OpenHands, Cline, Goose, Continue, SWE-agent and Plandex — with honest limits and the real token cost of running each one.
Paul IrollaRead article →Stop an Overnight AI Agent Burning Your Budget
An agent left running overnight bills by the token, not the hour. Here's how to cap the spend before you wake up to a four-figure invoice.
Paul IrollaRead article →Context Engineering vs Prompt Engineering
Prompt engineering tunes one instruction. Context engineering controls the whole payload your coding agent re-reads every turn — which is where accuracy and cost actually live.
Paul IrollaRead article →Effective Context Engineering for AI Agents
Context engineering is the highest-leverage skill for running AI coding agents cheaply. Here's the mechanism, the techniques that actually move the bill, and the anti-patterns to kill.
Paul IrollaRead article →Agentic Engineering: The Discipline of Cheaper Agents
Agentic engineering is the discipline of designing what an AI coding agent reads, runs, and remembers per turn. Get it right and your agents get cheaper and more accurate at once.
Paul IrollaRead article →What Is Agentic Terminal Coding?
Agentic terminal coding is when an AI agent runs in your terminal and drives a tool-using loop — reading files, running commands, editing code — to finish a task on its own.
Paul IrollaRead article →Agentic Coding Best Practices for Sane Token Costs
The best agentic coding practices aren't about prompting tricks — they're about controlling what the agent reads. Here's how I keep token costs from spiraling.
Paul IrollaRead article →How to Reduce Tokens on Long Agent Sessions
Long agent sessions get expensive because every turn re-bills the whole transcript. Here's why cost grows quadratically, and the levers that actually flatten it.
Paul IrollaRead article →How to Measure AI Agent Token Usage
You can't cut what you don't measure. Here's how to actually quantify your AI coding agent's token usage — per call, per session, per dollar — instead of guessing.
Paul IrollaRead article →Lazy MCP Loading: Stop Paying for Idle Tools
Lazy MCP loading defers a server's tool manifest until you actually call a tool, so the per-turn overhead you pay on every message drops to near zero.
Paul IrollaRead article →Semantic Code Search vs Grepping the Repo
Grep finds every line that mentions a word; semantic code search finds the few that actually answer your question. For an AI agent paying by the token, that gap is the whole bill.
Paul IrollaRead article →Skeleton Compression: Read Files for Fewer Tokens
Skeleton compression hands an AI coding agent a file's structure — signatures, types, exports — instead of every line. Same understanding, a fraction of the tokens.
Paul IrollaRead article →Output Filtering: Trim Command Logs for Agents
Command logs are the silent token hog in agentic coding. Output filtering trims the noise before the model reads it, cutting cost without losing the signal you actually need.
Paul IrollaRead article →How a Bloated CLAUDE.md Inflates Your Bill
CLAUDE.md is re-read on every turn and lives in the cache prefix. Let it sprawl and you pay for it on every request, all session long. Here's the math, and how to keep it lean.
Paul IrollaRead article →Prompt Caching: How to Cut Your Input Bill
Prompt caching makes a stable prefix cost ~10% on repeat reads instead of full price. Here's how to structure prompts so the cache actually hits, and where it stops helping.
Paul IrollaRead article →How to Reduce Cursor Token Usage
Cursor burns tokens on @-codebase context, indexed retrieval, MCP manifests and long agent threads. Here's how to cut each one without dumbing the model down.
Paul IrollaRead article →Claude Code: Subscription vs API Pricing
Claude Code runs on a Pro/Max subscription or on pay-as-you-go API billing. Here's the honest break-even math, and why token discipline changes the answer.
Paul IrollaRead article →Claude Usage Limits: Why You Hit Them
Claude usage limits aren't a hardware ceiling — they're a token budget. Here's how they actually work across plans and the API, and how to stop hitting them so early.
Paul IrollaRead article →Cut Claude Code Costs, Keep the Model
You don't have to drop from Opus to Haiku to cut your Claude Code bill. The cheaper move is to stop feeding the expensive model tokens it never needed.
Paul IrollaRead article →Claude Code Token Limit: How to Stay Under It
Claude Code's limits aren't a wall you hit at random — they're a token budget you can spend slowly. Here's how the 5-hour and weekly caps work, and how to stay under them.
Paul IrollaRead article →How to Reduce Codex Token Usage
Codex bills you for eager file reads, raw command output, the MCP manifest and a growing transcript. Here's how to cut each one without losing quality.
Paul IrollaRead article →Agentic Coding: What It Is and Its Real Cost
Agentic coding is when an AI agent plans and executes multi-step coding tasks on its own. That autonomy is powerful — and it's why token costs can spiral fast.
Paul IrollaRead article →Best Claude Code Token Optimizers (2026)
Ranked roundup of every real Claude Code token optimizer — rtk, LLMLingua, claude-context, token-optimizer, codegraph, tokensave, ccusage, and Tokenade — with honest strengths, real limitations, and a comparison table.
Paul IrollaRead article →Best MCP Servers for Claude Code
The best MCP servers for Claude Code, ranked by usefulness, real token cost and setup effort — including which ones quietly inflate every turn, and one that cuts that cost.
Paul IrollaRead article →What Is Vibe Coding?
Vibe coding is building software by describing intent to an AI and accepting what it produces — powerful for prototyping, expensive in tokens. Here's how it works and how to keep costs down.
Paul IrollaRead article →Best AI Coding Tools (2026)
Ranked: the 7 strongest AI coding tools in 2026 — Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, Aider and Codex CLI — with real pricing, honest limitations, and the one layer that cuts the token bill across all of them.
Paul IrollaRead article →How to Reduce AI Coding Agent Token Usage
AI coding agents burn tokens by re-reading files, dumping directories and shipping verbose output every turn. Here are the levers that actually cut the bill — and how to apply them.
Paul IrollaRead article →How to Reduce Claude Code Token Usage
Claude Code burns tokens on eager file reads, unfiltered tool output, bloated MCP manifests and runaway transcripts. Here's how to cut each one without losing quality.
Paul IrollaRead article →Context Engineering for AI Coding Agents
Context engineering decides what your AI coding agent sees, in what form, and in what order. Get it right and you get better answers at a fraction of the token cost.
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