docs: update line counts to match actual codebase (~1400 LoC)

The code has grown since initial release. Updated file-level line
counts in the architecture section and total LoC references in both
READMEs and pyproject.toml.

Author: he-yufeng

README.md

@@ -10,7 +10,7 @@
 
 [中文](README_CN.md) | [English](README.md) | [Claude Code Architecture Deep Dive (7 articles)](article/)
 
-**512,000 lines of TypeScript → 950 lines of Python.**
+**512,000 lines of TypeScript → ~1,400 lines of Python.**
 
 I spent two days reverse-engineering the leaked Claude Code source — all half a million lines. Then I stripped it down to the load-bearing walls and rebuilt them in Python. The result: **every key architectural pattern from Claude Code, in a codebase you can read in one sitting.**
 
@@ -37,7 +37,7 @@ Fixed: halper → helper.
 
 ## What You Get
 
-Claude Code's 512K lines distilled to 7 patterns that actually matter:
+Claude Code's 512K lines distilled into ~1,400 lines across 7 patterns that actually matter:
 
 | Pattern | Claude Code | CoreCoder |
 |---|---|---|
@@ -94,21 +94,21 @@ The whole thing fits in your head:
 
 ```
 corecoder/
-├── cli.py            REPL + commands               160 lines
-├── agent.py          Agent loop + parallel tools    120 lines
-├── llm.py            Streaming client + retry       150 lines
-├── context.py        3-layer compression            145 lines
-├── session.py        Save/resume                     65 lines
-├── prompt.py         System prompt                   35 lines
-├── config.py         Env config                      30 lines
+├── cli.py            REPL + commands               218 lines
+├── agent.py          Agent loop + parallel tools    122 lines
+├── llm.py            Streaming client + retry       156 lines
+├── context.py        3-layer compression            196 lines
+├── session.py        Save/resume                     68 lines
+├── prompt.py         System prompt                   33 lines
+├── config.py         Env config                      55 lines
 └── tools/
-    ├── bash.py       Shell + safety + cd tracking    95 lines
-    ├── edit.py       Search-replace + diff            70 lines
-    ├── read.py       File reading                     40 lines
-    ├── write.py      File writing                     30 lines
-    ├── glob_tool.py  File search                      35 lines
-    ├── grep.py       Content search                   65 lines
-    └── agent.py      Sub-agent spawning               50 lines
+    ├── bash.py       Shell + safety + cd tracking   115 lines
+    ├── edit.py       Search-replace + diff            85 lines
+    ├── read.py       File reading                     53 lines
+    ├── write.py      File writing                     36 lines
+    ├── glob_tool.py  File search                      47 lines
+    ├── grep.py       Content search                   78 lines
+    └── agent.py      Sub-agent spawning               58 lines
 ```
 
 ## Use as a Library
@@ -152,7 +152,7 @@ quit             Exit
 
 |  | Claude Code | Claw-Code | Aider | CoreCoder |
 |---|---|---|---|---|
-| Code | 512K lines (closed) | 100K+ lines | 50K+ lines | **1,300 lines** |
+| Code | 512K lines (closed) | 100K+ lines | 50K+ lines | **~1,400 lines** |
 | Models | Anthropic only | Multi | Multi | **Any OpenAI-compatible** |
 | Readable? | No | Hard | Medium | **One afternoon** |
 | Purpose | Use it | Use it | Use it | **Understand it, build yours** |

README_CN.md

@@ -10,7 +10,7 @@
 [![License: MIT](https://img.shields.io/badge/license-MIT-green)](LICENSE)
 [![Tests](https://github.com/he-yufeng/CoreCoder/actions/workflows/ci.yml/badge.svg)](https://github.com/he-yufeng/CoreCoder/actions)
 
-**51万行 TypeScript → 950 行 Python。**
+**51万行 TypeScript → ~1400 行 Python。**
 
 我逆向了 Claude Code 泄露的全部源码，然后把不承重的部分全扔掉，用 Python 重建了核心。成果：**Claude Code 的每一个关键架构模式，浓缩在一个下午能读完的代码库里。**
 
@@ -94,21 +94,21 @@ corecoder -p "给 parse_config() 加上错误处理"
 
 ```
 corecoder/
-├── cli.py            REPL + 命令                   160 行
-├── agent.py          Agent 循环 + 并行执行          120 行
-├── llm.py            流式客户端 + 重试              150 行
-├── context.py        三层压缩                       145 行
-├── session.py        会话保存/恢复                   65 行
-├── prompt.py         系统提示词                      35 行
-├── config.py         环境变量配置                    30 行
+├── cli.py            REPL + 命令                   218 行
+├── agent.py          Agent 循环 + 并行执行          122 行
+├── llm.py            流式客户端 + 重试              156 行
+├── context.py        三层压缩                       196 行
+├── session.py        会话保存/恢复                   68 行
+├── prompt.py         系统提示词                      33 行
+├── config.py         环境变量配置                    55 行
 └── tools/
-    ├── bash.py       Shell + 安全 + cd 追踪          95 行
-    ├── edit.py       搜索替换 + diff                  70 行
-    ├── read.py       文件读取                         40 行
-    ├── write.py      文件写入                         30 行
-    ├── glob_tool.py  文件搜索                         35 行
-    ├── grep.py       内容搜索                         65 行
-    └── agent.py      子代理生成                       50 行
+    ├── bash.py       Shell + 安全 + cd 追踪         115 行
+    ├── edit.py       搜索替换 + diff                  85 行
+    ├── read.py       文件读取                         53 行
+    ├── write.py      文件写入                         36 行
+    ├── glob_tool.py  文件搜索                         47 行
+    ├── grep.py       内容搜索                         78 行
+    └── agent.py      子代理生成                       58 行
 ```
 
 ## 当库用
@@ -152,7 +152,7 @@ quit             退出
 
 |  | Claude Code | Claw-Code | Aider | CoreCoder |
 |---|---|---|---|---|
-| 代码量 | 51万行（闭源） | 10万+行 | 5万+行 | **1300 行** |
+| 代码量 | 51万行（闭源） | 10万+行 | 5万+行 | **~1400 行** |
 | 模型 | 仅 Anthropic | 多模型 | 多模型 | **任意 OpenAI 兼容** |
 | 能通读吗？ | 不能 | 很难 | 有点费劲 | **一个下午** |
 | 适合 | 直接用 | 直接用 | 直接用 | **先看懂，再造自己的** |

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "corecoder"
 version = "0.2.0"
-description = "Minimal AI coding agent (~1300 LoC) inspired by Claude Code. Works with any LLM. (formerly NanoCoder)"
+description = "Minimal AI coding agent (~1400 LoC) inspired by Claude Code. Works with any LLM. (formerly NanoCoder)"
 readme = "README.md"
 license = "MIT"
 requires-python = ">=3.10"