🌍 TheVerge

Anthropic’s long-sidelined Fable 5 is greenlit to return

After weeks of negotiating with the Trump administration, Anthropic is finally going to be able to bring Claude Fable 5 back online. In a post on X, Anthropic said it plans to begin restoring access tomorrow to users globally on Claude platforms, and that the company would re-enable access on AWS, Google Cloud, and Microsoft […]
🌍 Dev.to

How We Translate 300-Page Books Using Claude Without Hitting Token Limits

Breaking long documents into overlapping chunks, preserving context, and reassembling with FastAPI At LectuLibre, we’ve built an AI‑powered platform that translates entire books—EPUBs and PDFs—using large language models. When we first hooked up Claude’s API, we naively fed it a 300‑page PDF in one request. It failed immediately. Claude 3 Opus has a 200K token window, but a 300‑page book can easily run to 300K tokens or more. Even if we squeezed it in, the output would be truncated and the q...
🌍 Dev.to

GitHub Trending Digest — 2026-06-30

GitHub Trending Digest: Optimasi Agent, Parsing Gambar Skala Besar, dan Evolusi Sistem Operasi Selamat datang di edisi digest GitHub Trending minggu ini (30 Juni 2026). Pasar pengembangan perangkat lunak di tengah tahun 2026 menunjukkan pergeseran menarik dari sekadar "membuat model AI lebih pintar" menjadi "membuat sistem AI lebih efisien dan terintegrasi secara mendalam". Tren utama minggu ini didominasi oleh dua tema besar. Pertama, optimasi biaya dan komputasi untuk AI Agents . Kita ...
🌍 Dev.to

Web Scraping with Python in 2026: Best Libraries and Anti-Bot Strategies

Web Scraping with Python in 2026: Best Libraries and Anti-Bot Strategies Web scraping in 2026 looks very different from 2020. Sites are smarter, anti-bot systems are more aggressive, and the legal landscape has evolved. Here's what actually works now. The 2026 Scraping Landscape Challenge 2020 Solution 2026 Solution Bot detection Rotate User-Agent Fingerprint randomization + residential proxies CAPTCHAs Manual solving Turnstile/hCaptcha solv...
🌍 Dev.to

Shielded Token Contracts on Midnight: Real Errors, Real Fixes

Written from months of grinding on shielded liquidity DeFi protocols on Midnight. If you've been trying to build anything serious with shielded fungible tokens on Midnight lending protocols, liquidity pools, DEXes you've probably hit some walls that the documentation doesn't fully prepare you for. The Midnight programming model around shielded tokens is genuinely different from anything in the EVM world, and a lot of the intuitions you carry from Solidity or even other ZK environments wil...
🌍 Dev.to

Memory Chips

Memory Chips Supply chain strategy from electronics production engineering, 500–50k units/year Introduction "Order from Digi-Key" is a prototyping strategy, not a production strategy. The 2020–2023 IC shortage demonstrated that supply chain resilience must be designed in — not improvised when lead times hit 52 weeks. The Sourcing Tier Structure Tier Examples MOQ Price Premium Lead Time Risk Authorized dist. Digi-Key, Mouser...
🌍 Dev.to

The Token Bucket Algorithm: Build Server-Side API Rate Limiting in ~40 Lines

The Token Bucket Algorithm: Server-Side API Rate Limiting in ~40 Lines Plenty of tutorials teach you how to survive someone else's rate limit with retries and backoff. Far fewer show you how to build one. If you run an API, you need rate limiting on your side too — to protect your database from a runaway client, keep one noisy tenant from starving everyone else, and give abusive traffic a polite 429 instead of a melted server. The cleanest algorithm for the job is the token bucket ...
🌍 Dev.to

Looking for 10 teams to test a managed knowledge API for free

I have been building AI products for a while and kept running into the same problem. Every project that involves querying documents with AI requires the same foundation before you can build anything interesting: a chunking strategy, an embedding pipeline, a vector database, re-ingestion logic when content changes, and a retrieval layer on top. It is not hard, it is just a lot, and it is not the part you actually want to be building. So I built Kognita to handle it as a managed API. You ...
🌍 Dev.to

从思想到工程:FROST 与 FROST-SOP 的双生之旅

从思想到工程:FROST 与 FROST-SOP 的双生之旅 你知道吗?每一个伟大的工程背后,都有一个简单而深刻的起点。 引言:从 500 行到 5000 行的演进 在开源世界里,我们见过太多"大而全"的框架——它们功能丰富,却让人望而生畏。今天我想分享一个反其道而行之的项目: FROST 。 FROST (Fractal Runtime of Orchestrated Skills & Tasks)最初只是一个 500 行的教学框架,用最朴素的代码讲述 Agent 的本质。它的核心哲学只有一句话: 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。 而今天我要介绍的,是 FROST 思想"开花结果"后的工程实践—— FROST-SOP ,一个拥有 5000+ 行代码的完整 Agent 工程平台。 FROST:理解 Agent 的钥匙 FROST 不是什么复杂的框架。它的设计哲学是 最小原子集 + 分形宪法 : 四个原子,理解一切 ...
🌍 Dev.to

I built a "context OS" that stops AI agents from drowning in your codebase

The problem every AI coding session hits You open Claude or Copilot, paste in your task, and immediately hit the wall: the codebase is too big. You either: Dump everything and burn 80% of your context window on irrelevant files Hand-pick files and miss the one import that breaks everything Pay for a bigger context window and repeat the problem at scale I got tired of this and built ContextOS — a local CLI that acts as an intelligent context layer between your repo and your AI...
🌍 Dev.to

What Claude Sonnet 5 Means for AI Infrastructure in East Africa

What Claude Sonnet 5 Means for AI Infrastructure in East Africa The release of Claude Sonnet 5 on June 30, 2026 changes something specific about building AI agent infrastructure for regions like East Africa: the model tier that couldn't reliably finish a multi-step workflow now can. This isn't a general AI update note. It's about a concrete technical constraint that just moved. The constraint that moved East Africa's AI infrastructure problem isn't compute or APIs. M-PESA ...
🌍 Dev.to

Opening .pages .numbers .keynote Files on Windows? I Built a Free iWork Viewer

If you've ever received a .pages or .numbers file on a Windows PC, you know the pain — you can't open it. No preview, no converter built in, and Apple's iCloud web tools are slow and clunky. So I built iworkviewer.com — a free, browser-based iWork file viewer and converter. No signup, no upload to any server. Everything happens in your browser. What it does Open .pages files → view them instantly, export to PDF or .docx Open .numbers files → view spreadsheets, expo...
🌍 Dev.to

I Built 5 Free AI Tools That Replace $200/month in SaaS Subscriptions

The Subscription Fatigue is Real I was paying $47 for ChatGPT Plus, $29 for Jasper, $19 for Grammarly, $16 for Copy.ai, and $15 for an SEO tool. That's $126/month just for AI writing tools. So I built my own. Five tools, one dashboard, completely free to start. Here's how each one works and what it replaces. 1. AI Content Writer (Replaces Jasper, Copy.ai — $66/month combined) The content writer generates blog posts, articles, product descriptions, and marketing copy. Yo...
The HackerNoon Newsletter: No AI Was Hurt While Writing This Article (6/30/2026)
🌍 HackerNoon

The HackerNoon Newsletter: No AI Was Hurt While Writing This Article (6/30/2026)

How are you, hacker? 🪐 What’s happening in tech today, June 30, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, London Launched the First Emergency Phone Service in 1937, Germany's Heinkel He 176 Took Its Maiden Flight in 1939, Mike Tyson Was Born in 1966, and we present you with the...
Data Residency Is Not a Legal Problem. It Is an Infrastructure Design Problem
🌍 HackerNoon

Data Residency Is Not a Legal Problem. It Is an Infrastructure Design Problem

Data residency looks like a storage rule, but it's really an infrastructure design problem: compliance depends on controlling where data, compute, ML jobs, logs, backups, and access actually live, not just where the primary database sits. Teams that make their platforms portable, reproducible, and region-aware before regulation forces the issue avoid turning a legal requirement into a migration scramble.
OpenAPI Authentication and Authorization Best Practices
🌍 HackerNoon

OpenAPI Authentication and Authorization Best Practices

This article explains why authentication and authorization documentation is critical to API security and how inconsistent OpenAPI specifications create security, compliance, and integration risks. It covers reusable security schemes, granular OAuth scopes, token lifecycle management, audit logging, RBAC, and practical OpenAPI examples that help teams build more secure and maintainable APIs.
Architecting a Zero-Downtime SQL Server 2025 Upgrade for a Mid-Market Tech Platform
🌍 HackerNoon

Architecting a Zero-Downtime SQL Server 2025 Upgrade for a Mid-Market Tech Platform

This article presents an enterprise migration blueprint for upgrading from SQL Server 2014 to SQL Server 2025. It covers compatibility assessments, infrastructure modernization, phased migration strategies, disaster recovery, security hardening, performance optimization, and post-migration monitoring to minimize downtime and reduce operational risk during a major database upgrade.
Inside Nomerra's $2M Raise to Build AI-Native Fund Operations
🌍 HackerNoon

Inside Nomerra's $2M Raise to Build AI-Native Fund Operations

Berlin-based Nomerra raised $2 million in a pre-seed round to make private-market operations AI-native for asset servicers and asset managers. The company calls it one of the largest FinTech pre-seed rounds of the year. The round was led by 14Peaks Capital, with Redstone Fintech and senior individuals from firms including KKR and Intapp participating. Founders Johannes Gebendorfer and Jakob Zacherl were the first employees at bunch, the Berlin fund-operations platform that has since raised mor...
Building a Graph-Vector Hybrid Memory Layer for AI Agents
🌍 HackerNoon

Building a Graph-Vector Hybrid Memory Layer for AI Agents

I built a memory system for AI agents that distills task failures into single actionable rules — stored in ChromaDB and linked conceptually in a Neo4j graph — instead of dumping raw conversation logs. Includes rule decay, multi-tenancy, and an honest look at what's still unranked in retrieval.
I Hate AI, so I Built a Compiler
🌍 HackerNoon

I Hate AI, so I Built a Compiler

I burned 1.5 billion AI tokens ($2,000) in one month, generated and deleted 65,000 lines of code, then spent 48 hours learning C++ from scratch to build a compiler. The result: Ampersand, a deterministic dataflow language with WORM immutability, exclusive OS memory reservation, and 7 enforced memory laws. It's not production-ready. The README is a disaster. But it works. This is the story of how I went from generating to shipping, why AI-assisted development needs better foundations, and what ha...
How JSON.stringify Corrupted 150,000 Rows in My Postgres Database
🌍 HackerNoon

How JSON.stringify Corrupted 150,000 Rows in My Postgres Database

I stored arrays in Postgres jsonb columns using postgres.js + JSON.stringify. The driver serialized them a second time, so ~150,000 values across ten columns were silently saved as jsonb strings, not arrays. They looked right and matched no filters. Root cause, detection (jsonb_typeof = 'string'), repair, and the safe pattern (sql.json).