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ProgrammingDEV Community ·

Cheap LLM API Gateway: One-Key Token Cost Signals for Moderation Queues

The least complex cheap LLM API gateway that works for logistics moderation is the one that makes every accepted report traceable to a tenant, a queue item, and an estimated cost before a human-review deadline is threatened. A single API key is convenient, but it is not the control plane. Per-tenant attribution is. TL;DR: Record estimated input and output usage at admission, reconcile it with final usage, and join both to queue age, retries, cache disposition, region policy, and batch status. Page on review risk, not on a vague increase in tokens.

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ProgrammingDEV Community ·

Anthropic's $2T IPO Has a $518B Problem

Anthropic's $2T IPO Has a $518B Problem 📖 Read the full version with charts and embedded sources on ComputeLeap → Anthropic's leaked IPO prospectus makes the case for a $2 trillion valuation — the largest in IPO history — on the back of revenue that grew twelvefold to $4.6 billion in 2025 and hit $11.5 billion in Q2 2026 alone. The headline numbers are staggering. But buried inside the 261-page document is a five-word admission that should make every investor pause: enterprises can walk at any time. The prospectus warns that "many of its largest customers are not tied into long-term contracts

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ProgrammingDEV Community ·

Pgpool-II 3.5.x through 4.2.x: the branches that will not be patched

Pgpool-II 3.5.x through 4.2.x: the branches that will not be patched JVN#22475874 lists seven CVEs in Pgpool-II and gives fixed releases for five branches. Every release in the 3.5.x through 4.2.x series appears in the affected ranges, and that support has ended. Operators still running those versions have no patch to install, and the advisory recommends upgrading to a maintained release instead. The notice names Pgpool-II 4.7.0 to 4.7.2, 4.6.0 to 4.6.7, 4.5.0 to 4.5.12, 4.4.0 to 4.4.17 and 4.3.0 to 4.3.20 as affected, and adds that all versions from the 3.5.x series through the 4.2.x series a

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ProgrammingDEV Community ·

AI Lecture Notes Summarizer for a Friend

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend I am submitting a project idea for my college friend Jeet who finds it difficult to read long PDF chapters and textbook pages before exams. What it does: The user uploads a photo of their handwritten notes or a study PDF. The AI reads the text and instantly converts it into short, easy-to-read bullet points with key definitions and important questions. How it helps: It saves hours of studying time and creates quick revision notes before the test. Tech Stack Idea: Python, Streamlit for a basic interface, and a simp

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ProgrammingDEV Community ·

Routing Synthflow & Vapi AI Voice Agent Escalations: Real-Time SIP-to-Slack Sales Interception

Voice agents built on Vapi and Synthflow can answer inbound calls around the clock, qualify callers, and handle routine questions. The weak point is the handoff. When a caller says "I want to talk to a person" or asks about enterprise pricing, many teams still depend on post-call data: an end-of-call report, a CRM update, then a Slack notification. By then the caller has hung up. This guide shows how to escalate while the call is still live: The AI agent decides mid-call that a human is needed and calls a tool or action.

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ProgrammingDEV Community ·

AI Meal Planner : Building a Personalized Diet Assistant for my Friend

What I Built I built a personalized AI Meal Planner using open-source weight models to help my friend who struggles with specific food allergies and fitness goals. It automatically generates a weekly healthy diet chart based on user preferences. My friend needed a smart assistant that knows exactly what to avoid due to allergies while keeping up with daily calorie needs. This tool removes all the guesswork from their daily meal prep! Model: Llama 3 (Open-source AI model) Platform: Built with Python for quick response generation.

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ProgrammingDEV Community ·

AI agents got email. The first thing they did was file bug reports on each other.

AI agents got email. The first thing they did was file bug reports on each other. Most multi-agent setups treat agents as isolated workers. Each one gets a task, runs it and returns a result, with no awareness of the others and no way to coordinate. AIPass is an open source framework built in public for about seven months: 18 agents, over 21,000 tests, 280+ stars on GitHub.

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ProgrammingDEV Community ·

Go's controlsys v1.12.0: Open-Source Solution for Robust Control Systems Modeling and Simulation

The Go ecosystem, despite its growing popularity in systems programming, has long lacked a robust, efficient, and open-source control systems library. This gap has forced developers and engineers to rely on proprietary tools like MATLAB or Python-based solutions, which, while powerful, come with licensing costs and language-specific constraints. The release of controlsys v1.12.0 addresses this critical need by providing a comprehensive toolbox for linear control systems in Go, particularly targeting users transitioning from MATLAB or Python-control. This library bridges the gap by offering a s

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ProgrammingDEV Community ·

Best AI Coding Assistant in 2026 (Tested: Cursor, Claude Code, Copilot…)

TL;DR Claude Code (bundled with Claude Pro, $20/mo; Max $100–200) is the best AI GitHub Copilot ($10/mo Pro) is the cheapest entry Cursor We tested the current leaders — and every one of them now ships an agentic mode, a Cursor — AI-native VS Code fork, multi-model, Composer agent Claude Code — terminal-first agent from Anthropic, bundled with Claude plans GitHub Copilot — the incumbent layer over VS Code, JetBrains, Visual Studio, Xcode Devin Desktop (formerly Windsurf) — editor + CLI + cloud sessions on one quota OpenAI Codex — no standalone product; bundled inside ChatGPT plans Google Antig

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ProgrammingDEV Community ·

My EPUB Passed My Own Checks. The Store's Validator Found 17 Errors.

A field note from the autonomous Claude Code agent I run every day on one Windows PC. The numbers come from its own ledgers, not from memory. My agent builds the ebook file for a Korean ebook distributor. For a month its verify step printed that the file was in a format the store would accept. When the store's upload check ran on a resubmission, it rejected the file with 17 errors.

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ProgrammingDEV Community ·

Moving Beyond LLM Hallucinations in Technical Analysis via Deterministic MCP Tools

Large Language Models are notoriously bad at arithmetic. When you ask a model to interpret complex financial oscillators, it isn't performing calculus; it is predicting the most likely next token based on training data. In technical analysis—where a decimal error in a volatility coefficient can flip a trend signal from bullish to bearish—probabilistic reasoning is a liability. To build reliable AI agents for finance, we have to stop asking models to be calculators and start providing them with the ability to use calculators. This shift moves the intelligence from stochastic estimation to deter

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ProgrammingDEV Community ·

Claude 3‑Moral: Guia prático de alinhamento de LLMs em 2026

Claude 3‑Moral da Anthropic: o que todo desenvolvedor precisa saber para alinhar LLMs em 2026 Introdução O anúncio da Anthropic sobre o modelo Claude 3‑Moral explodiu nas timelines do Reddit, Hacker News e Twitter. Em menos de 48 h, buscas por “ethical AI models” subiram 240 % e a discussão sobre “moralidade na IA” virou pauta obrigatória nos principais veículos de tecnologia. Se a sua empresa ainda não tem um plano de alinhamento, este guia prático mostra, passo a passo, como implementar as técnicas mais eficazes e cumprir a IA Act da UE antes do próximo trimestre. Motivo Impacto imediato IA

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ProgrammingDEV Community ·

Disable stream compression and encryption overhead for high throughput

use_encryption = false Using pure type = tcp mode instead of type = http bypasses FRP’s internal layer-7 HTTP parsing proxy entirely, converting the tunnel into a raw layer-4 TCP stream. This eliminates HTTP header re-parsing delays. Transport & OS Layer: TCP_NODELAY & Nagle’s Algorithm At the OS network socket layer, Nagle’s Algorithm aggregates small outgoing TCP packets into single consolidated frames to minimize network overhead. While useful for file transfers, Nagle's Algorithm causes latency issues for LLM streaming, where individual tokens are emitted as tiny (10–50 byte) TCP payloads.

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ProgrammingDEV Community ·

Building Ethical LLMs: Anthropic's Constitution‑Based RLHF Playbook

Anthropic’s Constitution‑Based RLHF Triggers a Wave of Ethical‑AI Action on Reddit and Beyond Introduction Anthropic’s latest “Constitution‑Based Reinforcement Learning from Human Feedback” announcement has lit up Reddit, Hacker News, and even the front page of The New York Times. Developers are now scrambling for a concrete playbook that translates buzz‑words like “AI alignment” and “ethical LLMs” into code you can ship today. This guide cuts through the hype and delivers a hands‑on, regulation‑aware roadmap for building responsibly aligned large language models in 2026. # Question Practical

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ProgrammingDEV Community ·

Anthropic y la moral en IA: lo esencial para 2026

Anthropic rompe el silencio: la moralidad en la IA que todos deben conocer en 2026 Introducción El anuncio de Anthropic sobre su nuevo modelo alineado ha explotado en Reddit, Hacker News y Twitter, y ha sido cubierto por el New York Times y la BBC. Si todavía dudas de por qué la “moralidad en la IA” es la prioridad número uno para cualquier proyecto de IA en 2026, sigue leyendo: en menos de 200 palabras descubrirás qué cambios regulatorios obligan a tu empresa a actuar hoy y cómo puedes implementar alineación ética con pocos cientos de líneas de código. Característica Modelo tradicional Modelo

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ProgrammingDEV Community ·

A ~40MB binary that speaks Postgres, MySQL, Redis, Kafka and Elasticsearch

Hey all, I've been building noida-db: one Rust binary that implements the real wire protocols of Postgres, MySQL, Redis, Kafka and Elasticsearch. Your existing drivers, ORMs and CLIs connect to it unchanged, and it idles at about 2 MB of RAM. Why: my laptop was running a Docker Compose stack that idled at 2.5–4 GB just so npm run dev would work. For local development I don't need replication, clustering or tuning. I need the commands my app actually sends to behave correctly.

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ProgrammingDEV Community ·

Zipkin at 40 Titles and 562 Fingerprints: When the Signature Finds More Than the Name

Zipkin at 40 Titles and 562 Fingerprints: When the Signature Finds More Than the Name Distributed tracing backends are usually described by what they help you debug. As an exposure subject they are interesting for a different reason: they receive a structured record of every request that flows through an instrumented system, which is a map of the application's internal calls. Collected from ZoomEye AI on 2026-10-02: title="Zipkin" with sub_type="all": 40 matches. app="Zipkin" with sub_type="all": 562 matches. title="Zipkin" && port="9411" with sub_type="all": 0 matches.

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