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二〇二六年首季,犹为开发者筑制智能体之具。二〇二六年三季或二〇二七年,则大语言模型自筑其具之时也。
Programming · 2026-05-24 · via DEV Community

二零二六年初,犹有匠者营制器之具。

二零二六年季夏,或二七载,则智械自构其具矣。

今者,凡机巧之匠——克劳德之码、游标、科德、吉尼之令、艾德、诸如此类——皆恃同一隐层:

器始工之前,授之要旨之文。

AGENTS.md
CLAUDE.md
.cursor/rules
SKILLS/
MCP之令所列
忆之图式
测试指令
代码风格指令
“勿触此径。”
“需人首肯方行。”

异构之IDE,同式之模板
异构之仓库,同式之模板
异构之代理,同式之模板

此乃代理之困也

AI编程代理背后之隐工

众人多言此编程之代理本身.

然实践之中,人工智能编程之质量,常系乎此代理周遭之境.

代理未始编码之前,必先知:

  • 此为何种项目
  • 其何所依之框架
  • 何文件为要
  • 何指令以行测试
  • 何指令行校验
  • 何路径勿触
  • 何工具有备
  • 何内存应存
  • 何故障当避
  • 何编码之则当循
  • 何时需人核可

无此层,纵强编码之辈,亦能生纤瑕。

此层之设,使同一智能体之行止,甚为恒常。

此层者,吾谓之缰也。

乃何此制犹存于二零二六?

理之所在,此大智之能当自检视库藏,而生此诸般。

然实践之中,吾辈犹未臻其境。

模型智足以任实码之务,然未恒可恃,每于新仓之始,必凭空生成完美之项目真赜,此非定法也。

彼等或能为之。

非恒然也。

故人也居其环。

吾等复书此仓库名之指意。

吾等遍行诸事,皆依此规。

吾等别立文件,以存Claude Code、Cursor、Codex式之代理、Continue、Windsurf诸般。

每库小作。

痛集而苦。

未来:自生之轭

吾以为此乃暂时的耳。

不日,编码之模宜能:

  1. 观此库也
  2. 通晓此任
  3. 辨项目之类型
  4. 制适之具柄
  5. 联适之器
  6. 立内存之图式
  7. 撰验之脚本
  8. 琢环之术,俟事毕而止

及是时,具柄之层,不复为别作之遗物

然未是时,匠者犹需津梁

吾筑驭天阁

吾筑之harnessforge以验此意。

此乃一地开源之AI编程代理用之具也。

非他编程之使也。

汝之编程之使,犹为心智之枢。

harnessforge唯陈其本真,而后役始。

行:

uvx harnessforge init

入全景模式 出全屏模式

或可安装:

pip install harnessforge

入全景模式 出全屏模式

顷刻间,全然本地,无需网络调用,检视汝之仓库,生成AI编程代理常用之启动文件。

其所生也

视乎其事与图式,harnessforge可生成文件如:

AGENTS.md
SOUL.md
TOOLS.md
MEMORY.md
SKILLS/
.claude/CLAUDE.md
.cursor/rules
.continue/
.windsurf/rules
blueprint-specific validators

入全景模式 出全屏模式

旨趣至简:

予编码之使,以更固之始基。

今之图式

今版含此蓝图:

rag-agent

为检索之系统、知识库之代理、引文之执行、及根植之应答。

finance-agent

为金融或股市相关之代理,涉市数据之处理及交易执行安全之规则。

support-agent

为顾客支持之流程,如意向之辨识、知识库之查索、票证之创建、升级及票证之脉络。

workflow-agent

为多步骤之协调,涉工具日志、幂等性及验证结构。

python-cli-app

绿野新开之Python CLI项目之默认蓝图。

何以此事为要

要义非在具体之文件也。

要义在于,编程之代理需有可靠之项目特定操作境。

今,吾辈亲理其境。

翌日,此模或可自生之。

harnessforge宜居中而坐。

非濠池,乃桥也。

今即用之。

及模型追及,则弃之。

例程之流程

uvx harnessforge init

入全景模式 出全屏模式

乃启Claude Code、Cursor、Codex、Gemini CLI、Aider,或他司之编程代理于库中。

今此代理有专于项目之文牍,须先览之,方始其事。

非自空库始,而此代理自:

  • 项目之规
  • 工具新解
  • 記憶之構
  • 验证之期
  • 蓝图特异失效之状
  • 特定代理之启动文件

编程之使仍书代码。

此具仅赋予其恰切之境。

此注

吾之赌也:

二零二六年春:开发者犹建代理之具。

二〇二六年第三季度 / 二〇二七年:此大语言模型自筑其辔。

直至其时,地缘确定性之驭器生成,可令AI编程之务更为可恃。

GitHub(IT之家)
https://github.com/jcaiagent7143-ui/harnessforge

PyPI:
https://pypi.org/project/harnessforge/

吾欲闻诸 Claude Code、Cursor、Codex、Gemini CLI、Aider、Continue、Windsurf 诸编程之代理,于真实之仓库中用之者之见闻.

尔今如何驭此代理之辔耶?

尔是否亲手动持 AGENTS.mdCLAUDE.md.cursor/rules,MCP之配置,内存之文件,及验证之规则乎?

抑或君以为后世之编码模型,自能生此层耶?