Auto-aggregated global tech articles · 3,394 posts
The dangerous version of an AI agent is not the one that gives a bad answer. It is the one that confidently calls a tool, updates the wrong record, sends the wrong email, retries itself into a loop, and leaves no recoverable trail. A prototype agent can be impressive and still be unsafe. A product
Give a coding agent a failing test and it fixes itself. Give it a stack trace, a type error, a red CI log, and it reads the signal, reasons about the cause, and corrects. That loop is the whole reason agents feel autonomous on the backend. On the UI it falls apart. The agent edits some CSS, sees n
The demo is flawless. The agent reads the support ticket, categorizes it, looks up the customer, drafts a response, updates the CRM, and posts a summary in Slack. Everyone nods. Someone says, “This is going to save us hundreds of hours.” Two weeks later, the same agent has replied to the wrong cust
Git Hosting na UE: Como cumprir DSA e GDPR sem perder produtividade Introdução A União Europeia acabou de tornar obrigatória a soberania dos dados de código‑fonte. Se o seu repositório contém informações pessoais, segredos de negócio ou até mesmo o nome dos desenvolvedores, ele deve fic
Here's an experiment you can reproduce. Take an image with fine structure — thin gridlines, text, sharp edges — shrink it to a quarter of its side length, interpolate it back up to the original size with bicubic, and compare against the original pixel by pixel. I measured two things: PSNR, and hi
Why Idempotency Matters When building APIs, network failures are inevitable. A client sends a request, the server processes it, but the response is lost. The client retries, and suddenly you have duplicate orders, double charges, or duplicated database records. Idempotency solves this by ensuring
Terrain — prepares the ground so agents don't have to guess where to stand. 🔗 GitHub: https://github.com/sopaco/terrain The Tech Lead's Pain: Documentation as Technical Debt As a Tech Lead, you've definitely experienced: Architecture docs that took two weeks to write become unrecog
Every backend engineer has had this conversation at least once: retention gets cut from 90 days to 30, or verbosity gets dialed down in production, because the storage bill for logs quietly became a line item someone in finance started asking about. It usually gets framed as a tooling problem — "we
Article URL: https://www.sylvainkalache.com/blog/ai-handles-incidents-engineers-lose-touch-with-their-systems Comments URL: https://news.ycombinator.com/item?id=49574167 Points: 61 # Comments: 37
Rate limiting is a critical architectural pattern that controls how often a user or a computer program can send requests to a server. Think of a request as any action that requires a server to do work, such as loading a webpage, submitting a login form, or searching a database. By setting a strict c
Terrain — prepares the ground so agents don't have to guess where to stand. 🔗 GitHub: https://github.com/sopaco/terrain The Real Problem in CI/CD Pipelines Teams often face these issues in CI pipelines: Regenerate documents on every merge—but only a few files actually changed Kno
I set up self-hosting on my mid-spec laptop with 300 GB of storage and 16 GB of RAM. The issue is that I only have a phone, so I have to manage everything from it. I installed CasaOS, created a shortcut, and I've been managing everything through it smoothly. Now that I have everything I need install
Like all other mid-thirties nerds, I run a janky homelab out of my living room. In addition to being my daily driver for gaming and coding, my trusty desktop computer also serves as a media server and content acquisition system. In a previous iteration, I had been using Tailscale with Mullvad as a
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I wanted to share a weekend project that turned into an exercise in extreme zero-budget bootstrapping. I built SDOWNLOADER—a clean, fast multi-platform video downloader supporting 9 major social networks. Most online video downloaders are notoriously horrible to use: they bombard you with aggressive
How to Integrate OneHop AI Gateway with Cline in VS Code AI coding agents have become an important part of modern software development. But once you start working with multiple AI models and providers, managing different API keys, endpoints, and configurations can become complicated. OneHop AI Gat
A repository gaining 7,710 stars in a month deserves a performance-minded look, not just a screenshot of the README. OpenViking positions itself as a context database for AI agents: one layer for memory, knowledge retrieval, and reusable skills. The interesting part is not the label. It is the attem
Quick-fix reference. For the full debugging story behind this, see: The 502 That Wouldn't Die Symptom Your Apigee X evaluation org shows fully provisioned: Console wizard: all 4 setup steps green ✅ organizations.get API: "state": "ACTIVE" ✅ instances.list API: "state": "ACTIVE", real
Have you ever watched a two-kilobyte write fail with No space left on device while df -h still showed free gigabytes? I did, and I spent the next forty-eight hours cleaning the wrong evidence. This is the reconstructed field notebook from that session, including the commands I ran, the ones that mis
Text to SQL Without Sending Data to OpenAI (Local DuckDB & Ollama Setup) When developers build Natural Language to SQL features for enterprise applications, the default approach is sending raw schema and table samples over an API to OpenAI or cloud LLMs. For security-conscious data teams hand
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