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Article URL: https://www.currentaffairs.org/news/how-elon-musk-killed-hundreds-of-thousands-of-people

Comments URL: https://news.ycombinator.com/item?id=48342778

Points: 9

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Article URL: https://pilgrimsage.substack.com/p/the-two-doors

Comments URL: https://news.ycombinator.com/item?id=48342738

Points: 1

# Comments: 1

Article URL: https://github.com/OWASP/www-project-agent-memory-guard

Comments URL: https://news.ycombinator.com/item?id=48342710

Points: 1

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Article URL: https://github.com/RsyncProject/rsync/issues/929

Comments URL: https://news.ycombinator.com/item?id=48342705

Points: 12

# Comments: 5

Article URL: https://www.wsj.com/finance/the-home-insurance-coin-flip-nearly-half-of-claims-result-in-zero-payout-4b49acaf

Comments URL: https://news.ycombinator.com/item?id=48342702

Points: 3

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Article URL: https://github.com/1999labs/antics

Comments URL: https://news.ycombinator.com/item?id=48342699

Points: 1

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Article URL: https://www.theatlantic.com/technology/2026/05/pangram-ai-detection-accuracy/687381/

Comments URL: https://news.ycombinator.com/item?id=48342692

Points: 1

# Comments: 1

Article URL: https://www.theatlantic.com/technology/2026/05/ai-agents-agency-crisis-humanity/687379/

Comments URL: https://news.ycombinator.com/item?id=48342688

Points: 2

# Comments: 1

Article URL: https://marginalrevolution.com/marginalrevolution/2026/05/80000-hours-the-book.html

Comments URL: https://news.ycombinator.com/item?id=48342683

Points: 1

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Article URL: https://citizenlab.ca/research/how-chinese-actors-use-impersonation-and-stolen-narratives-to-perpetuate-digital-transnational-repression/

Comments URL: https://news.ycombinator.com/item?id=48342649

Points: 2

# Comments: 0

Article URL: https://www.aboutamazon.com/stories/aws-random-graph-theory-data-center-network-design

Comments URL: https://news.ycombinator.com/item?id=48342638

Points: 2

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Article URL: https://mariozechner.at/posts/2026-05-30-shitty-robot/

Comments URL: https://news.ycombinator.com/item?id=48342617

Points: 1

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Article URL: https://knowledge.insead.edu/leadership-organisations/what-distinguishes-super-rich-rest-us

Comments URL: https://news.ycombinator.com/item?id=48342557

Points: 1

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Article URL: https://www.youtube.com/watch?v=q1U37Ohmjh8

Comments URL: https://news.ycombinator.com/item?id=48342515

Points: 2

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Article URL: https://flatmap.cloud

Comments URL: https://news.ycombinator.com/item?id=48342510

Points: 1

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Article URL: https://github.com/dwgebler/geblang

Comments URL: https://news.ycombinator.com/item?id=48342496

Points: 3

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Article URL: https://completionkit.com/

Comments URL: https://news.ycombinator.com/item?id=48342460

Points: 4

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Article URL: https://rfd.shared.oxide.computer/rfd/0400

Comments URL: https://news.ycombinator.com/item?id=48342442

Points: 2

# Comments: 0

For a bit of context, I’m currently creating a team of AI agents at work to generate reports by fanning out into a large amount of subagents to process a large amount of transcript data. When the analysis fails mid-way because of some individual step like an API call returns an error or the machine is out of memory, it would create cascading errors that break the entire generation with almost no visibility. I’ve just spent the past month rewriting the individual jobs as durable execution jobs on DBOS but just wondering if there are better solutions out there and if others encountered similar issues? And then there is the issue to reflect back the progress to the users which I’ve just been coding ad-hoc honestly…

When an agent fails at step 9 of 12, how do you handle that?

Roughly how many engineer-weeks have you sunk into agent infrastructure (durability, monitoring, human-in-the-loop, live UI) vs. the actual agent logic? Curious if my ratio is normal.

For those who built this stuff in-house: was it ever a build-vs-buy conversation? What would a tool have had to do for you to buy instead of build?

Do you currently pay for anything in your agent stack (LangSmith, Temporal, Braintrust, etc.)? What made that one worth a line item when others weren't and should I look into it too?

Comments URL: https://news.ycombinator.com/item?id=48342441

Points: 2

# Comments: 0

Article URL: https://github.com/Gerharddc/litterbox

Comments URL: https://news.ycombinator.com/item?id=48342440

Points: 2

# Comments: 0