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Some thoughts don't need essays. They just need somewhere to land. Bytes are the small ones: thoughts that appear mid-commute, mid-debug, mid-coffee. I post them from telegram or the terminal, whichever is open, and whichever I'm probably procrastinating in when the brain buffer overflows.

S
I once thought photography was an expensive hobby. Now building software doesn't feel too different. Except this one just guzzles gazillion tokens.
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R
Built technical resource for structuring agentic workflows. 7 Chapters. 12k lines. 564 KB. 6 agents. $ 21. The future is extremely token hungry. 357k Tokens.
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Q
If the vocabulary is fuzzy, the instructions for the agents will be fuzzy. And the output ambigious. Clarity starts with words. Time to start building a personal glossary.
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P
Me: Excited about voice mode in Claude. Coding from everywhere. | My wife: May be work can stay inside work. | Capitalism: Flinches.
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O
Results from agentic workflows reward good management approaches. The obvious ones are: Clear instructions, Proper Context, Actionable Feedback. But swarms and orchestrations might push you to aquire flexing these in compounds and beyond.
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N
Embarrassing confession: I still don't have a real test suite for this project. With agents writing more and more code, that's starting to feel like a very fragile place to be.
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M
Every bug in a complex form exists because someone didn't take efforts to draw the the state machine. I'm someone.
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L
The agent will give you exactly what you ask for. But the tragedy is in what you don't ask.
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K
The difference between an agent that makes you productive and an agent that make your better is one word: why.
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J
Stage 1: read the pr comment. Stage 2: paste it into the agent. State 2.5: the part where I was supposed to think. State 3: push.
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I
Attention is all you need. Yours and the model's. That might as well be our shared skill.md
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H
Keep refining the question until the articulation becomes precise. Instead of one shotting in a single prompt, rigor of recursion can be helpful. In the age of cheap code, problem articulation becomes the real engineering skill.
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G
The real devils are blind spots in context and subtle misinterpretations of intent. Context bloat and hallucinations are easier to detect and manage with discipline: precise prompts, iterations, and careful scoping.
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F
| Spec = f(What, Why, Constraints) | Implementation = Plan(Spec) | Spec = (Objective x Features x Constraints) => Plan |
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E
Mom, Happy Birthday. Life may have given her countless reasons to be pessimistic but remained weirdly optimistic about me. No expectations, no pressure. Just trust. A dangerously empowering parenting strategy letting me keep compiling the things I actually love.
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D
When reasoning becomes easy to delegate, humans may no longer remain the primary locus of implementation reasoning. Perhaps the only protection is maintaing small moments of curiosity.
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C
If agents appear more confident and knowledgeable than me, what does my judgement, taste or domain knowledge even mean? May be the first step isn't answering this yet.
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t
Agents optimize whatever objective you imply. With a vague spec, the loss function becomes: agree with the human + do something plausible. Congrats, you’ve reached a sycophantic local minimum.
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s
Agents are not confused by vague specs. They just become very productive in the wrong direction. TIL to point carefully.
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r
Agents promise to save us from the pain of debugging, but that pain was often where real understanding came from. If the struggle disappears, we'll have to deliberately create new ways to learn how our systems actually work.
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p
Agentic development makes personal software incredibly rewarding. Building for yourself guarantees a user. Building for the internet guarantees - may be silence.
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o
Software with agents feels addictive because the effort to reward ratio flipped. A few prompts produce real artifacts, which open new possibilities, which again lead to more building. The trail just keeps going.
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i
First blip of the century!
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