Joined January 2009
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21h
The US suddenly forbidding other countries from accessing frontier models is an ominous sign.
If AI companies don’t know if they can even sell their product, it’s much harder to justify investment.
We’re in a *global* race, and uncertainty hinders investment and innovation.
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Jun 12
What will software development look like when the $200 plan becomes $8,000?
Jun 10
Claude $200 = $8,000
OpenAI $200 = $14,000
I like that exchange rate (while it lasts)
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Jun 11
Now that we have agents, do teams of one make sense?
- AI is a consistent pairing and review partner
- It’s easier to hold one person accountable
- AI helps you “wear more hats”
- AI makes it easier to temporarily backfill PTO/sick days
- One person teams reduce communication/coordination overhead
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Jun 10
Poll: AI Agents keep getting more powerful and less error prone.
Does this make automated tests less important, or more important?
8%
Less important
92%
More important
66 votes • Final results
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Jun 9
The new "best" models are here!
1. Fable 5 - generally available
2. Mythos 5 - limited release (it's dangerous!)
"In a 50-million-line Ruby codebase, Fable 5 performed a migration in a day that would have taken a whole team over two months by hand."
More: anthropic.com/news/claude-fa…
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Jun 8
Penny wise, pound foolish
Jun 8
Talked with a large org and their devs only get $19 GitHub copilot plan... Guess they're ngmi off the starting line
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Jun 8
AI isn't a magic wand.
If I lack clarity, AI's output is unpredictable.
If my thinking is sloppy, AI's output is sloppy.
If I'm inconsistent, AI is inconsistent.
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Jun 8
3 AI-related themes I’m seeing:
1. Looping: “Your new job is writing loops, not prompts.”
2. Big token budgets: “You're ngmi if you only have $2k/mo to play with.”
3. Efficiency: “Token efficiency is becoming a key skill.”
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Jun 6
Theme I’m seeing repeated in the comments:
Don’t review code.
Review decisions.
Code review in 2026 is more about structure than syntax.
Jun 5
We generate code via AI.
We review code view AI.
Is your team still doing human code reviews?
Why or why not?
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Jun 5
We generate code via AI.
We review code view AI.
Is your team still doing human code reviews?
Why or why not?
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Jun 5
I’m frustrated when I ask a human a question and they give me a copy/pasted AI-generated response.
I asked you because I thought I could trust your insight more.
I can ask AI myself.
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Jun 4
AI took my programming job in 2025.
(It took your job too, though you may not realize it yet)
My new job? Solving software problems using agents.
(It’s your new job too)
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Jun 4
This is absolutely wild.
When Mythos-level models show up the world is going to shift radically again.
Jun 4
Today, Anthropic engineers on average ship 8x as much code per quarter as they did compared to 2021-2025.
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Jun 4
I can't believe how much I'm telling AI to output HTML reports and docs.
The results are fantastic.
Examples:
- Onboarding: "Generate an HTML overview of all the repositories in this folder and document how they relate to each other."
- Velocity report: "Generate a report on commits, PRs, and code churn over the last 8 weeks. Give me filters for repo and committer."
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Jun 4
Before AI, software development felt mostly about syntax.
Now, software development feels mostly about decisions.
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Jun 3
I empathize with this.
What helped me turn a corner: I focus on the things I've gained:
I rarely get stuck anymore.
I don't have to type tricky syntax.
I can improve UX faster than ever.
I can easily automate tedious tasks.
I don't have to manually look things up.
I have a new "pairing" partner that's always available.
I can implement and compare multiple options quickly.
I can try big ideas that were previously out of reach.
I can use the best tool for the job instead of the one I know best.
Jun 3
All of the the agentic stuff makes me sick. I've been doing dev since 2004 and this is making me want to find another career. This is no longer software dev and I want no part of it.
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Jun 3
Mistake: Assuming LLMs are only for generating code.
The LLM can streamline all my tasks if I give it access to all my tools.
Checklist:
Git
Jira
Email
GitHub
Playwright
Confluence
AWS/Azure
Slack/Teams
(Of course, there's a risk for each too - try to keep permissions narrow)
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