ferryzhou
fragments of thoughts and time.
technical path
if technical path is wrong
prompt vs code
llm + prompt + tools have issues of
test driven agent dev?
so the question is how do we ensure agent behavior is intended consistently?
Llm chess arena
So Google deepmind hosted llm chess competition.
Interesting behavior of agents
Seems it can handle the situation which is not explicitly mentioned in prompts/instructions.
IMO gold medal with Gemini 2.5 pro
Simplify your Agent 'vibe building' flow with ADK and Gemini CLI
simon's llm tool and repomix
muscle mem
google ai mcp toolbox for databases
Principle of compression
- Fix it. Otherwise, the same issue can happen again and again.
知识编码,LLM,agent
数据和代码都是知识编码
Resource integration with llm
Llm breaks the barrier between natural language and computer language
flooding of tasks
Recent texas flash flooding killed 50+ people
Agent programming lesson 5 - testing
following the last lesson
Agent programming lesson 4 - randomness
Given the same prompt, the LLM output could be random
copy posts from wordpress.com to github pages
so i want to create ferryzhou.github.io with my programming only posts on ferryzhou.wordpress.com
Open evolve
Good posts read recently
Tool vs agent
Tool: essentially a function, input is function args. out
Gemini CLI
I asked on June 9th that when Google release a product like Claude code: https://ferryzhou.wordpress.com/2025/06/09/a-conversation-on-claude-code/
AI generated python library
See My First Open Source AI Generated Library https://share.google/HTMCcwNB9dmMuuBwf
Agent programming lesson 3 - tools and data becomes more important
Llm is good at understanding text, human input, prompts, planning, but lack specialized knowledge and capacities that’s not in training data.
Agent programming lesson 2 - different coding paradigm
Agent programming is a total different way than traditional programming
Agent programming lesson 1 - multi agents, divide and conquer
Last week I created an agent to do bug cleanup
A conversation on Claude code
claude github agent, mcp, integration and productivity
继续研究claude github agent
claude agent
claude code就是一个agent
Agent
最近几天在外面旅行
原子能
YouTube推送了一个原子能博主的视频,关于SQL的,https://youtu.be/IUUpxfa1SSw?si=WgsCMh4yPJ0cctkE
Dashboard, data tables
今天又一次觉得这个太重要了
sc2reader
sc2 bots 2025 preseason 1 results
all in division 3
continue optimize sc2bot
now can beat all races veryhard level
sc2 bot simple logic
ai code
之前一直想改sc2 bot han 的代码
Config, proto and language
早上半梦半醒中意识到简化的一种基本方式甚至普遍方式是config
Genai benefits experts more
前段时间看过一篇文章
Coding sc2 bot with cursor
initial ml sc2 bot
Improve
得想个系统性的办法来提升sc2的战力
ares debug
qin2’s elo dropped below 1500.
sc2 bots stats
ares-sc2 arm mac initialization failure cannot import
ImportError: numpy.core.multiarray failed to import
first (or maybe second) github pull request
ares_sc2 arm mac initialization error cannot import name 'bootstrap' from partially initialized module 'cython_extensions'
Traceback (most recent call last):
File "/bots/qin/run.py", line 18, in
from bot.main import MyBot
File "/bots/qin/bot/main.py", line 6, in
from ares import AresBot
File "/bots/qin/ares-sc2/src/ares/init.py", line 3, in
from .main import * # noqa: F403 F401
^^^^^^^^^^^^^^^^^^^
File "/bots/qin/ares-sc2/src/ares/main.py", line 6, in
from cython_extensions import cy_unit_pending
File "/bots/qin/cython_extensions/init.py", line 6, in
from . import bootstrap
ImportError: cannot import name 'bootstrap' from partially initialized module 'cython_extensions' (most likely due to a circular import) (/bots/qin/cython_extensions/init.py)
github login recover
上次手机丢了以后github一直没能login
windows poetry install failure
- Installing jedi (0.19.2): Failed
pragmatic thinking and learning quotes
smile. there’s some evidence that simply smiling can be as effective as antidepressant medications
quotes from pragmatic thinking and learning
use it or lose it