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What happens when you let an AI write a browser extension I've been building Chrome extensions with AI coding agents — Claude Code, Cursor, whatever. Writing the code is the fast part. The problem is everything after. "Build it, load it into the browser, open the popup, click the button, check the console." That part? All me. Every time. The agent can write the code, but it can't see what the code looks like on screen. It can't click anything. It can't read the logs. So the human becom...

Here’s the thing. Last week I wanted to build a simple particle firework effect – the kind where you click the screen and hundreds of colorful particles explode, fall, and fade away. I’d written something similar with Canvas 2D before, so I knew the drill. But this time I decided to be lazy: I dumped the requirements into Claude and asked it to generate a complete HTML file on the spot. The AI gave me working code in maybe fifteen seconds. Clean, well‑commented, even with gradient‑colored ...

An app can die without a single line of its code changing. Nothing breaks inside; the world around it moves. A demo — or an AI-generated prototype — shows you an app on day one. The question that actually matters almost never gets asked: does it still work three years later, on day 1,095, when nobody has touched it since? That's not a rhetorical question. Here is, precisely, what happens during those three years. The inventory: what breaks when nothing moves The stores change ...

Cross-posted from carrick.tools . Every developer has looked at a survey widget, the little "How was your experience? 😞 😐 😊" popover, and thought: I could build that in a weekend. And you could. A form, a POST /responses , a GET /surveys , somewhere to look at the answers. Six endpoints, maybe eight if you're feeling enterprise about it. Formbricks is that product, built properly, in the open, over several years. I recently indexed its entire system as part of a series of scans I've...

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Article URL: https://fortune.com/2026/07/19/data-center-eminent-domain-public-use/ Comments URL: https://news.ycombinator.com/item?id=48974292 Points: 87 # Comments: 37

Article URL: https://github.com/Saivineeth147/lora-speedrun Comments URL: https://news.ycombinator.com/item?id=48974325 Points: 48 # Comments: 5

Article URL: https://robotics.xiaomi.com/xiaomi-robotics-1.html Comments URL: https://news.ycombinator.com/item?id=48974454 Points: 107 # Comments: 41

Article URL: https://blog.documentfoundation.org/blog/2026/07/17/microsofts-main-tool-for-lock-in/ Comments URL: https://news.ycombinator.com/item?id=48974476 Points: 52 # Comments: 14

An accessible combobox can follow the correct ARIA pattern and still become unusable when two search responses arrive in the wrong order. Reproduce this sequence: Type ca , then quickly type cat . The cat response arrives first and highlights cat facts . The slower ca response arrives and replaces the list. aria-activedescendant now points to an option that no longer exists. IME input adds another boundary: searching during composition can send partial text the user ...

An accepted AI suggestion is an event, not a durable outcome. If the code is rewritten tomorrow, acceptance rate still calls it a success. For an adoption review, I would connect three timestamps: suggestion : accepted_at : 2026-07-19T09:00:00Z repository : api task_type : test change : retained_lines_24h : 31 rewritten_lines_24h : 9 reverted_at : null review : human_minutes : 12 incident_link : null Then repor...

Suppose leadership rewards teams for increasing the percentage of “AI-assisted pull requests.” The dashboard rises. Did productivity improve, or did people learn which box to tick? Before launching that metric, I would run a consequence-mapping session: Intended behavior Plausible adaptation Counter-metric try useful assistance label trivial PRs as assisted retained task outcome ship faster split work into tiny PRs lead time per task share adoption ...

Removing EXIF GPS protects one privacy boundary. It does not prove that an uploaded JPEG contains only a JPEG. A useful hostile fixture is a valid image followed by bytes for another format. Many decoders stop at JPEG’s end marker and display the picture successfully, while downstream scanners, content sniffers, or accidental downloads may interpret the trailing payload differently. Build a fixture set rather than trusting extensions: clean.jpg valid JPEG exif-gps....

Multipart finalization is not the only retry boundary. Abort can succeed in object storage while the HTTP response is lost, leaving your database convinced the upload is active. Model abort as a state transition, not a button wired directly to an SDK call: active → aborting → aborted └──→ cleanup_pending The endpoint should own an idempotency key and durable intent: await db . transaction ( async tx => { const upload = await t...

A SQLite service can keep answering health checks while its WAL grows without a successful checkpoint. One forgotten read transaction is enough to reproduce the risk. Run a controlled drill: Enable WAL mode and create a small table. Open connection A, begin a read transaction, and keep it open. From connection B, commit batches of writes for 60 seconds. Sample WAL bytes and checkpoint results every second. Release A and observe recovery. PRAGMA journal_mode = WAL ;...

My upload CLI looked restart-safe until I tested two failures together: the process crashed at 63%, and the signed resume URL expired before restart. The checkpoint needs identity, not credentials: { "file" : "release.tar.gz" , "fingerprint" : "sha256:..." , "uploadId" : "up_123" , "localOffset" : 66060288 , "updatedAt" : "2026-07-19T12:00:00Z" } Do not persist the signed URL. On restart, exchange the durable...

A saga test that stops after “payment succeeded, inventory failed, refund called” assumes compensation is reliable. It is another distributed operation, so test it under the same faults. Use this sequence: 1. payment capture succeeds 2. inventory reservation times out 3. refund succeeds at provider 4. refund response is lost 5. compensation message is delivered again 6. late inventory-failed event arrives again The invariant is not “refund endpoint called once.” It is: ...

A helpful comment on my EXIF test suggested using a metadata scrubber. That is useful for ordinary still images, but a mobile upload contract must define every asset it sends. An iOS Live Photo can include both a photo resource and a paired video resource. The failure case is simple: the JPEG derivative has no GPS EXIF, while metadata or an original file associated with the paired video survives in the upload or retry path. Build the resource inventory first: let resources = ...

FROST 深度：为什么 AI Agent 需要「家族谱系」？ 前言：一个古老的管理学问题 你有没有想过，为什么人类社会的组织方式大多是「层级制」？ 从部落、到王国、到现代公司，我们习惯了一种结构： 有人决策，有人执行，有人监督 。 但当我们构建 AI Agent 系统时，为什么大多数框架都把 Agent 做成「孤岛」？每个 Agent 有自己的记忆、自己的工具、自己的行为逻辑——像一个没有家族传承的独立个体。 FROST 的核心理念是：Agent 应该有谱系、记忆和荣誉感。 1. 什么是「家族治理」？ FROST 引入了生物学的隐喻： Agent 家族 。 细胞会死，但谱系会存续。 Agent 会消亡，但宪法会传承。 资产会永存。 在这个框架里，有三个关键角色： 祖辈（Elder） ：定义不可违背的规则，是系统的「宪法」 父辈（Parent） ：负责领域协调，可以递归委托子任务 孙辈（Child） ：执行具体任务，用完即散 ...

Solo founders and small operators make big, irreversible calls alone. Expand into a new market or not. Kill the product line or keep bleeding on it. A real board of advisors would catch the bad ones, but real boards are expensive and slow, and most people running a 10-person company are never getting one. Steven and I kept circling this problem, so when the Qwen hackathon came around we built FounderOS: an AI board of directors. You bring one decision, eight specialist agents argue about it, ...

I watched my sister paste a CSV into on of our LLM overlords and ask a question then reword it and get a different number. That's the problem with letting an LLM both read your question and trust it's math. ADA splits the two jobs. Drop in a CSV or Excel file, get a dashboard, anomaly detection, a forecast, and plain-English answers, all calculated locally using pandas (locally in the sense of never leaving the server and going to the AI apis.). The LLM layer that you can use (it's optional)...

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7/19/2026: Top 5 stories on the HackerNoon homepage!

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