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Kodelyth ECC
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Figure out if ECC fits

Honest side-by-sides against the tools people ask about, plus roundups and deep-dive guides. No strawmen.

Side-by-side comparisons

One honest page per tool — where ECC wins, where it doesn't, and whether you can combine them.

Side-by-side
Kodelyth ECC vs Aider
Aider is a terminal-based AI pair-programmer with first-class git integration. Kodelyth ECC is a toolkit that augments pair-programmers with 71 specialist agents, MCP server, memory, and token savings. Install ECC into Aider rather than choose between them.
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Side-by-side
Kodelyth ECC vs Cline
Cline is an AI agent harness that lives in VS Code. Kodelyth ECC is a toolkit that augments agent harnesses — including Cline — with 71 specialist agents, MCP server, memory, and token savings. Use both, not one or the other.
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Side-by-side
Kodelyth ECC vs Continue.dev
Continue.dev is a config-driven AI coding assistant for VS Code + JetBrains with first-class local model support. Kodelyth ECC is a catalog toolkit of 71 specialist agents + MCP + token savings. Honest comparison of the layers, with the integration path spelled out.
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Side-by-side
Kodelyth ECC vs Cursor Rules
Cursor Rules is a flat text file of always-on instructions. Kodelyth ECC is 71 specialist agents + MCP server + token savings + memory. They solve different problems at different layers — and ECC installs cleanly into Cursor alongside your existing rules.
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Side-by-side
Kodelyth ECC vs OpenHands
OpenHands (formerly OpenDevin) is an open-source autonomous software engineer that owns its own agent loop. Kodelyth ECC is a toolkit that augments agent harnesses in your IDE. They solve different problems; this page is honest about whether they can be used together today.
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Side-by-side
Kodelyth ECC vs Plain Claude Code
Plain Claude Code is a complete AI coding environment. Kodelyth ECC is a free toolkit that layers 71 specialist agents, a universal MCP server, local memory, and 55-65% token savings on top — without replacing what Claude Code already does well.
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Roundups

Multi-way comparisons across categories. ECC is on the list but doesn't dominate.

Deep-dive guides

Long-form reference pages for the systems ECC is built on.

Guide
Autonomous Agent Orchestration
Complete reference for autonomous agent orchestration: the five hard problems (decomposition, dispatch, integration, verification, budget), the tokenless state machine pattern, dependency DAGs with cycle detection, git merge-tree conflict checking, resumable runs, and honest comparison to LangGraph, AutoGen, CrewAI, and OpenHands.
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Guide
Codebase AST Knowledge Graphs
Complete reference for codebase AST knowledge graphs: how tree-sitter builds them across 158 languages, why structural queries beat grep by 99% on token cost, the three queries that cover most practical use, Hybrid LSP semantic types, honest limits (staleness, type-resolution coverage), and when grep is still right.
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Guide
How to Cut Claude Code Token Costs
Where tokens actually go in an AI coding session, and the three levers that move the bill: filtering tool output before it reaches the model, compressing replies, and matching model tier to task. With a real 1,285-command ledger showing 64.1% input reduction.
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Guide
Model Context Protocol (MCP) Server Guide
A complete reference for Model Context Protocol (MCP) servers: what MCP is, how to build one, how to consume one, the six IDEs that auto-wire today, honest tradeoffs vs plugin ecosystems, security + transport patterns, and when MCP is the wrong answer.
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Guide
The Claude Code Toolkit
Complete reference for building a toolkit around Claude Code: the six primitives Anthropic exposes (agents, skills, slash commands, hooks, rules, MCP), the directory layout, how settings.json composes, intent routing, Memory Core integration, token-savings wiring, and when to extend each primitive.
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