Hacker News

Article URL: https://www.youtube.com/watch?v=bYU3CQomE5M

Comments URL: https://news.ycombinator.com/item?id=43888246

Points: 4

# Comments: 0

Article URL: https://www.lesswrong.com/posts/Yf8sxh87tiMsE4EPG/the-grand-encyclopedia-of-eponymous-laws

Comments URL: https://news.ycombinator.com/item?id=43888069

Points: 1

# Comments: 0

Get a random ASCII art for LGTM by visiting the website [1] or by calling the API [2]. I sometimes use these in the comment when approving the PRs.

[1]: https://lgtms.app/ [2]: curl -sL lgtms.app/api | jq -r '.art'

Comments URL: https://news.ycombinator.com/item?id=43888066

Points: 1

# Comments: 0

Article URL: https://www.nrk.no/dokumentar/xl/the-hunt-for-darcula-1.17399157

Comments URL: https://news.ycombinator.com/item?id=43888060

Points: 1

# Comments: 0

Article URL: https://www.thetimes.com/uk/science/article/self-diagnose-neurodivergent-99l9kl8v5

Comments URL: https://news.ycombinator.com/item?id=43888041

Points: 1

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Article URL: https://stopuncappedbilling.com

Comments URL: https://news.ycombinator.com/item?id=43888038

Points: 1

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Article URL: https://github.com/abarker/pdfCropMargins

Comments URL: https://news.ycombinator.com/item?id=43888033

Points: 1

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Comments URL: https://news.ycombinator.com/item?id=43888032

Points: 1

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Article URL: https://9to5mac.com/2025/05/04/apple-taking-control-of-iphone-chips-in-house-modems/

Comments URL: https://news.ycombinator.com/item?id=43888030

Points: 1

# Comments: 0

Article URL: https://github.com/v4nn4/em-dash-conspiracy

Comments URL: https://news.ycombinator.com/item?id=43888017

Points: 1

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Article URL: https://trackerly.ai/blog/non-deterministic-AI-response-study

Comments URL: https://news.ycombinator.com/item?id=43888011

Points: 1

# Comments: 0

Article URL: https://signoz.io/blog/opentelemetry-the-new-standard-for-infra-monitoring/

Comments URL: https://news.ycombinator.com/item?id=43888009

Points: 1

# Comments: 0

Article URL: https://martypc.net/?mount=fd:0:Area%205150%20(Compo%20Version).img

Comments URL: https://news.ycombinator.com/item?id=43888007

Points: 1

# Comments: 1

Article URL: https://zeux.io/2025/05/03/load-store-conflicts/

Comments URL: https://news.ycombinator.com/item?id=43888005

Points: 1

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Article URL: https://alhassy.com/TypedLisp.html

Comments URL: https://news.ycombinator.com/item?id=43887998

Points: 1

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Article URL: https://t128n.github.io/routr/

Comments URL: https://news.ycombinator.com/item?id=43887984

Points: 1

# Comments: 1

Article URL: https://hellnet.work/8831/page1.html

Comments URL: https://news.ycombinator.com/item?id=43887975

Points: 1

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Article URL: https://www.nytimes.com/2025/05/02/business/media/meta-movie-theater-chatbot.html

Comments URL: https://news.ycombinator.com/item?id=43887940

Points: 1

# Comments: 0

Article URL: https://every.to/context-window/how-we-shape-ai-and-how-it-shapes-us

Comments URL: https://news.ycombinator.com/item?id=43887939

Points: 2

# Comments: 0

AI agents that can call external tools look a lot like workflow engines. Both move work from “Step A” to “Step B.” The difference is in the steering wheel: a workflow engine follows hard‑coded lanes, while an agent can improvise. Tell the agent to “summarize this report and email the highlights,” and it decides which tool to grab next—no rigid flowchart required.

That’s why the agent‑vs‑tool debate often gets messy. Take Google’s A2A pitch versus the earlier MCP pattern. A2A tries to label “agents” as entities that plan and reason, while MCP casts those same capabilities as just another layer of tooling. In practice the boundary is more marketing than material—the moment a tool chain makes decisions, it’s wearing an agent’s hat.

So how do you ship something useful without vanishing into taxonomy debates? Start with one agent in charge of a well‑chosen toolkit. You can validate prompts, error handling, and observability before unleashing a flock of agents and the orchestration headaches that come with them.

When should you graduate to a fleet of specialized agents? Think cognitive load. People fumble when their to‑do list mushrooms; a single agent’s reasoning also degrades as its context window fills with unrelated tools and divergent tasks. Once your “kitchen‑sink” agent juggles customer support, data cleaning, and infra ops, it’s time to spawn new agents dedicated to each domain. Smaller, purpose‑built agents keep context tight, reduce hallucinations, and make troubleshooting saner.

Bottom line: Begin with one agent plus many tools. Split the work into multiple agents when the variety—not just the volume—of tasks starts tripping the original up.

Comments URL: https://news.ycombinator.com/item?id=43887912

Points: 1

# Comments: 0