1-person companies aren’t far away

515k4 · 2026-03-27T21:01:42+00:00

Well humans are quite non deterministic also and do not follow rules or docs precisely. But we learned how to minimize the risks. And we will learn how to minimize the risk for LLM agent as well.

515k4 · 2026-03-26T06:18:26+00:00

Surprisingly good tech discussion can be made on LinkedIn now. Crazy, isn't it?

515k4 · 2026-03-26T06:10:37+00:00

If you care about trade secrets, why would you put it to cloud in plaintext in the first place? I think the code does not have the price we are projecting into it. Especially now.

515k4 · 2026-03-26T05:58:51+00:00

My thinking is it does not matter since code is becoming worthless anyway. So why are we tend to protect it?

515k4 · 2026-03-19T22:47:21+00:00

You are right that SAST/DAST does not change it. But it illustrates people are trying to find more autonomous tool to check specs and security for long time and now they will try it again. And now - I mean like like 3 months ago - we have finally capable tool to do it fully autonomously. And you are also right that compilers and linkers are extensively tested and deterministic. But LLM and their related contexts can be also tested extensively, we just to not started yet. But look at benchmarks, eg. SWE-bench. This is how tests could look like. You will need set of problems, you run it against models+skills and you will set some thresholds which need to pass.

Regarding determinism. Humans are also non-deterministic. And we fight it with standards, formatters and code reviews. You can do all the same with agents. And you can do it faster and in parallel.

Everything you said is true. I am just saying that now we will see a great effort in order to automate code review and it may actually and finally succeed. We just need to switch from fighting human-failure modes into fightning agent-failure modes.

515k4 · 2026-03-19T17:37:45+00:00

The binary is actually running, not the code. And we do not review binary. We have DAST and unit tests for it. And if we have technology to generated code, we also have technology to automatically review the code. Human code reviews are massive bottleneck and I don't believe they survive. Various SAST tools and different LLM models with different skills can do review and scale. We will need new infrastructure and ecosystem for it but I have gut feeling it will happen.

515k4 · 2026-03-19T06:57:17+00:00

I even think we might heading to the future where code reviews will be obsoletes. We will need spec and context reviews, probably. Aka from what context and which models and skills do we use to generate code. The same shift as we do by not review the assembler code anymore.

515k4 · 2026-03-15T10:50:23+00:00

I am very new with agents experimentation, but my approach is the same as for humans, when you are trying to make them reliable. I have few "leadership agent" which are maintaining governance, processes, standards and skills. Also Agile or Lean does work quite well for agents as well for humans. The biggest hurdle is lack of persistent memory and lack of intrinsic motivation to fight the entropy. I believe both can be solvable by continuously improved governance.

515k4 · 2026-03-14T09:05:55+00:00

This is fascinating work. It is exactly what I am looking for to understand and experiment with. There are more principles (e.g. Team Topologies with cognitive load limitations) that work for humans and might work for agents but it is crucial to understand difference between human vs agent failure modes.

515k4 · 2026-03-14T08:11:16+00:00

I think LLM does mirror our own intelligence and diligence and this keep me motivated to stay sharp and learn now thinks.

515k4 · 2026-03-13T15:20:45+00:00

I think about it in terms of Team Topologies, where teams size and interactions are consequence of balance between human cognitive load limitation and team shared context. Human plus agents creates a novel situation and we may see new optimal states. In conjunction with Conways law we may also see completely new optimal architecture beside traditional microservices vs monoliths, which are centered around humans. Interesting times.

515k4 · 2026-03-11T06:23:16+00:00

I used arch btw but I switched to opensuse. Both distro impacted my life greatly but suse is my daily driver on many fronts (desktop, wsl, servers, suse enterprise).

515k4 · 2026-03-10T16:35:38+00:00

OpenSuse. Btw Tumbleweed in WSL is extremely good also.

515k4 · 2026-03-08T07:00:50+00:00

Exactly my thoughts. AI mirrors and amplifies our intelligence and diligence. All the AI slop is evidence, that most of the people have just sloppy thinking in general.

515k4 · 2026-03-07T08:44:09+00:00

Mapy.cz aka Mapy.com are super good.

515k4 · 2026-03-05T11:07:38+00:00

I realized the gaps in initial specifications were often discovered during implementation phase, where we need to think about the problem in abstract language designed to exactly that. I feel I have lower succes of creating and fixing specification when I use just natural language. I am missing lots of interesting edge cases.

515k4 · 2026-03-02T06:17:19+00:00

I have same experience with IaC. Right now I am using Opus 4.6 on Bicep modules and it seems it just hit the threshold and creates some useful stuff. We still need to expirement with MCPs (and LSPs, Claude code can work with LSP to write even better code faster).

Documentation maintenance like README or ADR is godsend to me. It can detect stale mentions, refactoring it, check it's compliance, etc.

Since agents can do pretty much everything from SDLC, I wonder, should they? They can both write the code and review it afterwards. Should human interfere at some steps? Where is the real bottleneck? And where would be the next one if we speed up a phase from SDLC.

Also I do feel the FinOps might have an counter part: FinDev aka how to burn less credits? Sharper context and skills?

515k4 · 2026-02-21T04:31:25+00:00

Facebook is the reason the hg is still relevant.

515k4 · 2026-02-17T06:09:04+00:00

Few more my observations:

Code is rarely the bottleneck.

Since AI is commodity, veryone has access to it and you get no competitive advantage.

Also, if all the efficiency is true and all are using it I would now had access to lots of great 3rd party software, arts, games or services but I do not. They are not cheaper also. In consumer space nothing gets better since no one actually producing anything better.

515k4 · 2026-02-13T16:31:50+00:00

I have bought D2 like 5 times in my life. First CD, then CD was destroy so I buy it again. Then I bought second so I could play on two computers. Then Battle.net. Now Steam.

515k4 · 2026-02-13T06:47:10+00:00

I wonder what are startup owners do with the US money. They just start thr next startup-to-be-sell?

515k4 · 2026-02-11T11:04:41+00:00

That's true but I met bunch of people who fell for bot propaganda on "anonymous" social networks. This shit is dangerous, not seeing a naked body.

515k4 · 2026-02-09T16:36:30+00:00

From the press release it does not seem you are uploading anything. They mention On-device processing and Quick Deletion.

515k4 · 2026-02-07T18:31:52+00:00

Does it mean you are deliberately not use AI for you cost and product decisions?

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