Posts tagged: llm

Is AI making us more productive yet, more faster yet?

probably not

I’ve seen this question hitting all over the Internet lately, and often points to people not writing code. Copilot turns prompts into emails, emails back into summaries that look a lot like prompts. I think there’s a place for this, making rambled thoughts sound more coherent, summarizing notes and meeting minutes. All good stuff but does it make us more productive, probably not by an amount that you can put $ $ behind, unless you are reducing headcount. thats not what we are doing right???

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Are developers really running 5 agents in parallel? How the Heck do they keep up with the changes? This seems Impossible.

I was listening to Syntax.fm this morning and heard this question, and thought I’d throw in my take, which is probably pretty similar to Wes and Scott’s.

https://www.youtube.com/watch?v=NrBQI9So5lM&list=PLLnpHn493BHHNUfHN5lDf11UD8jQ5Bpzl&index=1&t=99s

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Stop babysitting your agents, treat them like a real team and they will reward you.

Back in December I saw theo make a comment that code is now cheap, its the run rate of models, He quoted a study, not sure that he fully even believed it, but it claimed that the average developer after all meetings, training, emails, planning and extra shit in their day averages out 10 well tested lines of code per day. Opus 3.5 made him 10k loc (lines of code) that day.

We have all agreed for decades that lines of code is not a proxy to productivity or quality. Often more code means more risk, more review, more infrastructure. This has become MUCH different. Lines of code are still far from any sort of good metric. That aside, your agents are not doing 10k lines with you babysitting them, and in fact its very likely that the product quality is MUCH worse as you babysit them.

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The state of development in early 2026 is all wrapped around learning how to manage many agents running in parallel. Everyone’s trying to figure out the workflow.

The secret I’ve discovered is a good, well-defined plan. This could be a markdown file or a GitHub issue. Agents are actually great at writing these for you. They’ll include reproduction steps, outline changes needed, and structure the work.

This is your opportunity to step in. Read the plan. Look for hallucinations. Spot where it’s going off track. Edit the plan before the agent starts coding.

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I was listening to these guys talk about migrating off of boomer ai the other day. Introducing the term boomer ai to describe using chat, copy, paste instead of agents. Something magical happened to the tooling and models around december, they got really good. The chatgpt $20 plan hooked into opencode is good, the Free models in Opencode Zen (Big Pickle and Kimi K2.5 Free) are really good. Neither of these quite match up to the speed and quality of the larger plans, but they are good. good enough to throw away your boomer ai techniques and start using agents. Agents are the future, and they are here now. If you are still using chat, copy, paste, you are doing it wrong. Stop using boomer ai and start using agents. You will be amazed at how much better your results will be.

https://www.youtube.com/watch?v=3dmPKuTWbsI

I’ve been dabbling with go this week using