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- Hacker News
- This would be more convincing if there were a simple stat on the home page of the dispositions of the reported bugs (fixed/no-repro/won't-fix).
As a random sample of one, I looked at one of the bugs this reported on Tailscale (first thing on the homepage) [0], and the pull request ends with "Apologies for the lack of due diligence here. I'll go ahead and close this out."
by wrs - Makes sense to me - I see it going down two separate routes in parallel:
One is to take the human out the OODA loop for cyber defense. Servlet libs (for example) are going to become fluid, self-modifying things w/ contracts that operate much differenlty from how they do today. The engineering practice around these things will need to change.
The second is that UX will be self-modifying. Just like how pi can modify itself, I can see this being a general practice for user-facing applications. Perhaps a text-box in which users can describe tweaks in can request changes to how the application functions. Engineering an application will focus on modeling the non-negotiables of how an application works, and providing the correct primitives for user-driven LLMs to modify software on the fly, as well as track and rollback changes. There'll also be funsies around how to ensure that ads get delivered regardless of the user trying to get rid of them.
by aerodexis - It's a losing proposition. Self-driving cars go from point A to point B, and it's really easy to specify point B. My experience so far using agentic AI 24/7 for almost a year has been the AI can drive almost anywhere, so the whole problem is specifying where to drive. This doesn't get solved with faster, better AI, because all that will do is allow it to autonomously drive your codebase to random places you didn't want it to go. Then you're still left with the problem of specifying the problem.
But then there's the cases where the AI can't actually drive. What if you tell the agent to invent AGI? Or time travel? Where does it drive to? Does it tell you that it can't? How does it know it can't just drive here? How you you know? At the end of the day these are not wish granting machines, so someone connected to reality is still going to have to make decisions. And that person is going to be the one held liable for whatever the AI does so would they want a self-driving codebase in the first place?
by ModernMech - My bet is that we'll see a second layer of harness emerge, as self-driving codebases become the target. There will be an application facing harness, orthogonal to the agent facing harness. The app harness will represent the software factory that is emergent for the specific application being developed.
Anyway, here's mine, still wip:
by rrook - If you have a logo in the top left corner of your company blog the logo should route to the home page so I can see what product you're actually building.by geooff_
- Author here, hello! Happy to expand on how we're thinking about this if any of it is unclear.
We wrote this post as part of a launch, which you can check out here: https://x.com/danlovesproofs/status/2095182189499711759
by drob - Sorry to get hung up on what is probably just flavor text, but the first sentence.. "Agents can oneshot games that are actually fun", uhhh such as?
Would love to be proven wrong here, feels like I've just seen the same basic one-level kart racer in like 3 model announcements. Not even sure if they were one-shotted, I certainly would not describe them as "fun"
I worked in life sciences for a bit. There is a process in clinical trials called corrective and preventative actions (CAPA). You'll also find this in other areas where failure tolerance is low (e.g. aircraft).> It’s actually fine if agents make a lot of boneheaded mistakes. What’s not ok is if they keep making the same mistakes.It's simple: when a mistake happens, you run your CAPA process (Google CAPA form and see examples to extrapolate what that process might look like) and determine the root cause and the correction to the process that allowed the mistake to happen in the first place.
(At least as a SaaS vendor in life sciences, when we had a CAPA (e.g. after a SEV0 failure), it would be folded into our SOPs and then we would be required to retrain on the SOP. Auditors would want to see our evidence of CAPAs, the versions of our SOPs, the records of training. All to extreme for most shops, but I add this for context/color)
This is something most eng shops do not have the discipline for since it requires some diligence.
Should it be fully agentic? Should there be human intervention here to approve the CAPA? Open questions to be answered.