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I played a lot of Valorant and got mad, so I made an aim trainer that analyzes your raw crosshair movement to explore your raw motor and perceptual weaknesses instead of scoring scenarios. It also chooses sens and difficulty as part of the tasks, and makes playlists that are optimal difficulty for you to learn and progress faster! Comments URL: https://news.ycombinator.com/item?id=49002276 Points: 58 # Comments: 30

Article URL: https://tengli.dev/posts/mcp-servers-failing-agents.html Comments URL: https://news.ycombinator.com/item?id=49002358 Points: 23 # Comments: 5

I used to have over six tabs open just to confirm one deploy went well. PageSpeed Insights for performance, SSL Labs for certificates, Postman for API checks, and a terminal for DNS lookups. Every small task meant switching context and losing momentum. As a developer, that friction adds up fast, especially when you are shipping client work on a deadline. That workflow changed once I connected Geekflare MCP to Claude Desktop. I now run the same checks through plain-English prompts in one chat ...

There are a handful of concepts every Go beginner wrestles with. Pointers. Interfaces. Goroutines. And somewhere near the top of that list sits a deceptively simple pair: Arrays and slices. When I first started learning Go, I honestly thought they were the same thing. Both stored multiple values. Both used square brackets. Both let me access elements by index. So naturally, I asked myself: Why does Go have two data structures that seem to do exactly the sa...

Every time I needed to make a quick edit for a social media post, I found myself facing the same problem: Most online editors want something from you. Create an account. Give them your email. Accept cookies. Upload your videos to their servers. Receive marketing emails later. For a simple task like trimming a video, removing audio, or resizing an image, it felt unnecessary. So I built Reels Editor : a free browser-based video and image editor focused on one principle: Your f...

Problem description A table stores status values of an object at different timestamps, with one record per timestamp. Segment rows based on changes in the status value and output the effective start timestamp and the effective end timestamp for each status segment – that is, merge consecutive records with the same status into a single time interval. Source data: Expected output (intervals where each value remains constant): Take object 1 as an example: The first three re...

I thought a Roman numeral tattoo generator would be a very small feature. The original workflow looked obvious: Enter a date Convert it into Roman numerals Show the result Let the user copy or download it The conversion logic itself was not difficult. What surprised me was that users were not really asking only: What is this date in Roman numerals? They were also asking: Will this still work as a tattoo? That second question changed the product. ...

Spring Boot 4.1 went GA on 10 June 2026, and its biggest change for service-to-service work is that gRPC support moved into Spring Boot itself. The spring-grpc 1.1.0 release notes state it in a single line: "The main change in 1.1.0 is the migration of autoconfiguration to Spring Boot 4.1.0." Concretely, the starters you add to a build are now Boot's own: org.springframework.boot:spring-boot-starter-grpc-server org.springframework.boot:spring-boot-starter-grpc-client org.springf...

The first DOCX demo looked great. One page. One font. A small table. No headers. No section breaks. I thought the hard part was done. Then a customer sent a real contract. It had missing fonts, nested tables, merged cells, numbered clauses, headers, footers, page breaks, and a signature block that had to stay in the right place. Our clean demo became useless in seconds. That failure changed how I think about Office preview. A file that opens is not a file that renders cor...

How Web Browsing Works Today Browser ----HTTP/HTTPS----> Web Server (Unicast) Every browser opens its own dedicated TCP connection to the server. If a million people load the same page, the server handles a million separate connections and sends a million separate responses. What Would Need to Change 1. Replace TCP with UDP HTTP/1.1 and HTTP/2 both run over TCP, which requires: A per-client connection Acknowledgments (ACKs) Retr...

Building an AI Runtime Operating System for Commodity Hardware For the last few months I've been working on something that started as a simple question: Why do we still treat AI inference as "load an entire model into GPU memory and hope it fits"? My development machine certainly doesn't make life easy. Dell Precision 5520 NVIDIA Quadro M1200 (4 GB VRAM) 32 GB RAM Ubuntu Like many developers experimenting with open-source LLMs, I quickly ran into the same w...

OpenCode keeps a lot of useful history. That is one of the reasons I like it. A coding-agent session is not just a chat transcript. It is a record of what I asked, what the agent did, which tools ran, what failed, what got fixed, and what context existed at the time. I have argued before that the agent session is becoming a log file. I still believe that. Then I noticed the log file was getting large. On one machine, ~/.local/share/opencode/opencode.db had grown past a gigabyte. That ...

A few months back I started building a tool to solve a problem that kept annoying me: when you want an AI assistant to help with an old database, you end up as a human clipboard — copying schema, pasting stored procedures, describing foreign keys by hand. The AI never actually sees the database. So I built Legacy SQL Architect MCP — an MCP server that connects Claude (or any MCP-compatible client) directly to your PostgreSQL, SQL Server, or Oracle database, in strict read-only m...

Quick answer If you need a Python library to build an AI agent that can run in production, start with LangChain for flexibility, CrewAI for team-style orchestration, or LlamaIndex if your focus is on data-centric retrieval. All three install with a single pip command, but they differ in abstraction level, runtime cost, and how easy they are to test inside a FastAPI service. What are the top Python libraries for building AI agents? The three most battle-tested optio...

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Samsung's next Galaxy Unpacked event is just around the corner, and the company is expected to take the wraps off a bunch of new devices. Based on the rumors and leaks we've seen so far, Samsung's next generation of foldables will likely be the stars of the show. Samsung is expected to show off a […]

The four-year-old firm's latest fund is 60% larger than its second vehicle announced 18 months ago.

Anthropic and OpenAI's aggressive 2026 acquisition sprees set the stage for a weekend rumor.

Solving the context-window puzzle for book-length AI translation. At LectuLibre, we set out to build a service that translates entire books using large language models. The idea is simple: upload an EPUB or PDF, choose a language, and receive a polished translation. But behind the scenes, translating a hundred-thousand-word novel with LLMs isn't straightforward. The core challenge is context — LLMs have limited context windows, and books are long. Simply chopping the text into chunks and f...

The rule of three for evals says zero failures in N runs is a count, not a rate. With 0 failures in N independent runs, the exact 95% upper bound on the true failure rate is 1 - 0.05^(1/N) , which 3/N approximates. After 100 clean runs you still cannot rule out a 2.95% rate, about 1 in 34. Here is the reading that bites you. Your eval harness runs the agent 100 times, prints "0 failures," and the tile goes green. Someone screenshots it into the launch thread. The unspoken translation is "t...

Why I Switched to Plain Text Accounting Mint is shutting down. After 10 years of financial tracking, I am losing my data again. This time, I switched to plain text accounting with Beancount. The Problem with Traditional Apps Traditional financial apps have several issues: Export limitations : They only provide summary reports, not raw transaction data Proprietary formats : Data is stored in closed databases that require specific software to read Platform lock-i...

reconmatch is a local-first transaction matching engine for accountants, bookkeepers, and controllers. Two CSVs in — books vs bank, invoices vs payments — a scored, auditable match report out. No account, no upload, no network call. Repo: github.com/SybilGambleyyu/reconmatch The unglamorous pain If you close books for a living, you already know the scene: two windows open, a bank CSV on the left, a general-ledger export on the right, and an afternoon disappearing into "whi...

My LLM bill kept growing, so I did what seemed obvious: I looked for a cheaper model. That helped a little, but it didn't explain why the bill was growing. The dashboard could tell me how many tokens the application used. It couldn't tell me what those tokens were doing. Were they coming from chat? Document summaries? Background classification? An agent retrying the same tool call? I was trying to optimize a total without knowing which product feature created it. The usef...

I shipped a Next.js 16 app on Cloudflare Workers via OpenNext. Not a demo. A real product with streaming chat, server components, D1 at the edge, and anonymous user sessions. Here is what broke, what barely worked, and what turned out to be surprisingly fine. The stack Next.js 16.2 (App Router) @opennextjs/cloudflare 1.19 D1 for SQLite at the edge Streaming chat via the AI binding (DeepSeek-V3 through a Workers proxy) React 19 Tailwind CSS 4 No auth wall, no OAut...

从FROST到FROST-SOP：如何用家族治理模型打造你的"AI分身"？ 作者 ：神通说 日期 ：2026-07-22 主题 ：双项目联动 | 周三轮换 阅读时间 ：10分钟 开场：一人公司的终极困境 你是否有这样的体验？ 每天醒来，脑子里塞满了要做的事： 写推广文章 回复客户咨询 跟进项目进度 整理会议纪要 复盘昨天数据 一个人做公司，听起来很自由。实际上， 自由职业者的时间比上班族更碎片 ——因为所有事情都堆在你一个人身上，没有任何分工。 我一直在思考一个问题： 能不能用AI Agent来"复制"自己？ 不是那种"给你一堆提示词让你自己写"的AI工具，而是真正能 自主执行任务、自动汇报结果、帮你分担80%重复工作 的数字分身。 这个想法最终落地成了两个项目： FROST 和 FROST-SOP 。 第一站：FROST的家族治理模型——AI Agent应该像家族一样分工 FROST 的核心理念来自一个观察： 自然界最稳定的...

Every team shipping an agent has the same meeting. Someone asks "is it ready?" and the room splits. One person saw a great demo. Another watched it invent a refund policy an hour ago. The argument runs in circles because nobody agreed what "ready" means, so the loudest opinion wins and the agent ships on a vibe. Making an AI agent production-ready is not a moment of confidence. It is a bar you write down before you build, then measure against. This post is about that bar: why agents need a di...