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A follow-up/sub-part to Part 3 of the LLM inference internals series. Part 3 built sampling-mode speculative decoding with KV caching on both the draft and verifier sides, and it worked correctly, but the speedup it delivered didn't match expectations set by the paper. This post is the record of chasing that gap: every hypothesis tested, which ones were wrong, and what the real answer turned out to be. The first full gamma sweep, on an open-ended, opinion-style prompt, came back like this: Mode

Sábado noche, 00:00 — codeando y hablando de entropía con mi agente 🤖🔥 No es una noche de fiesta. Es una noche de... bueno, mi tipo de fiesta. Resulta que llevo un rato largo con mi agente (Hermes Agent, una maravilla de Nous Research) explorando un tema que me tiene enganchado: la entropía como flecha del tiempo en sistemas software. Y oye, ha sido una conversación de otro nivel. El software envejece aunque no lo toques. No es fallo tuyo. Es termodinámica. Las leyes de Lehman (1974-1996) lo d

I wanted a low-level C project that touches memory management, recursive filesystem traversal, and platform-specific APIs — so I built a terminal disk usage analyzer from scratch. No external libraries, just the C standard library and OS system calls. Recursively scans a directory using nftw() Reports total / used / available disk space (cross-platform) Lists every file sorted by size (ascending) with a proportional ASCII bar chart === Disk Usage Report === Total: 512.0 GB Used: 210.3 GB Availab

Notion's official Web Clipper has a 3.4★ rating on the Chrome Web Store. The reviews tell the same story for years: "go online to save" errors while online, login loops every few hours, clips vanishing silently, and zero organization on save. Pocket shut down. MarkDownload was removed from the Chrome Web Store. The gap was obvious, so I built ClipMark to fill it. I mapped the most common complaints from real Chrome Web Store reviews and built features that directly address each one: Complaint Ho

AI is becoming core business infrastructure. Learn how leading organizations are redesigning operations, workflows, and decision-making—not just automating task

When I started building my Maternity HL7-to-FHIR Pipeline, my first instinct was to do everything in Python. Parse the HL7 message, map the fields, validate the FHIR resource, persist it, all in one FastAPI service. It was clean. It was simple. It was wrong. My initial architecture looked like this: Hospital System --MLLP--> Python Script --> HAPI FHIR Server I used python-hl7 to split messages on | and count field positions. For a single ADT^A01 (patient admission) message, it worked fine. I co

Claude Opus 5 is out, and Artificial Analysis — who supported Anthropic's pre-release evaluation — just dropped their full benchmark breakdown. The headline: new top model for agentic knowledge work, and cheaper per task than Fable 5. That combination doesn't come along often at the frontier. "Opus 5 (max) scores 61 on the Artificial Analysis Intelligence Index, effectively tied with Claude Fable 5 (max, 60), and ahead of GPT-5.6 Sol (max, 59)" New agentic leader: 1861 Elo on GDPval-AA v2 — more

"You're spawning a fresh codex exec for every single call? Just run the app-server and reuse a thread. The prompt cache alone will pay for it." That sentence sounds so obviously right that nobody ever benchmarks it. We run a small bazaar of headless AI daemons — designers, reviewers, code workers — and each one shells out to OpenAI's Codex CLI dozens of times per work item. A resident codex app-server --stdio with warm threads looked like free money. We measured it four times. The prompt cache e

MetaMask, Coinbase, OKX, and BNB Chain all shipped AI agent wallets in June 2026. The $3–5T agentic economy needs a payment layer that runs at machine speed. He

A few weeks ago I turned four free browser-based engineering demos into LabBench — a suite people could actually use, not just look at. This week it grew again, and I also launched something completely separate. EV Battery Management Simulator — a 4-cell pack model with real coulomb-counted state of charge, an OCV + IR-drop voltage curve, a lumped thermal model that trips a simulated BMS above 70°C, and passive cell balancing you can actually watch converge over time. Smart Energy Meter Dashboar

Hi everyone,I just released my first package — strides/laravel-api-module.The idea was simple: stop copying the same boilerplate code every time you create a new API resource. So I made a generator that creates a clean module structure using the Action + Repository + Transformer pattern.What you get with one command:Action classes The package is well documented with examples.Would love to hear your feedback and suggestions!Links:Documentation: https://strides-hovo.github.io/Laravel-api-module/ h

A firsthand story from a Dubai crypto conference during the ICO boom, where whitepapers and technological hope briefly became strange reality.

Every time I wanted to paste a whole project into Claude or ChatGPT, I ended up guessing whether it would even fit — and often found out the hard way, mid-conversation, that it didn't. So I built Tokenazire, a small CLI tool that solves exactly that. What it does I kept hitting the same annoying loop: copy a project into a chat, get cut off or told the input's too long, then manually trim files and try again. This automates the "will it fit, and if not, what's taking up the most space" question

(Translated from the Japanese article.) This is a quiz about Ruby's Bundler! Add 8 characters to the following Gemfile so that bundle install fails (with non-zero exit code) for the second time or later. source "https://rubygems.org" gemspec Notes: Bundler is a fairly recent version (approximately version 3 or later). The first invocation succeeds. If you find the answer (on your own), please send me a direct message on ruby.social or email, etc.! An invalid URL like https://rubygems.org12345678

The most misunderstood part of JavaScript — finally explained with analogies, diagrams, and zero hand-waving. If you've ever wondered why setTimeout(fn, 0) doesn't actually run in 0 milliseconds, or why Promises always run before your setTimeout callbacks, or how Node.js handles 10,000 simultaneous users on a single thread — you're about to have several "aha!" moments in a row. Buckle up. ☕ Pop quiz: What is JavaScript? Here's the most famous answer, often attributed to Philip Roberts' legendary

Lessons from wrapping grok-build — the architecture, the traps, and why we picked Tauri over Electron. grok-build is xAI's open-source Rust coding agent. It ships as a TUI. We The full source is at github.com/timexingxin/grok-gui. grok-build is genuinely good at code work — comparable to Claude Code cmd+tab between the terminal and my browser tabs, I wanted a real The naive options all had problems: Wrap it as a tmux session in a webview. Doesn't help — you're still reading scrollback. Use a com

Clone it. Run it. Tell me where I'm wrong. git clone https://github.com/keniel13-ui/sequence-attack-repro cd sequence-attack-repro && python3 repro.py Stdlib only. No install. No model call. No network. About ten seconds. In June I wrote about this failure class as CLAIM-30 — every step allowed, the sequence was the attack — as an essay. This is not that essay again. This is the runnable proof: a baseline guard that ships what teams actually ship, an attack that still takes over the account, and

Three categories of AI agent safety tooling: observability, security guardrails, and compliance evidence. What each does, where each falls short, and the one most teams are missing. Bottom line: tools for keeping AI agents safe fall into three groups. Observability tells you what an agent did after the fact. Security guardrails try to block dangerous actions before they happen. Compliance evidence tools produce a verifiable, defensible record that an agent's actions were allowed. Most teams depl

Hello DEV Community! 👋 I wanted to share my latest open-source project: Hunter-Base-Intelligence (v17 Plus). It is a fully local-only cryptocurrency intelligence dashboard that scans DEX tokens on the Base blockchain, scores them using a multi-factor logic, and simulates a paper-trading shadow portfolio. Most on-chain analytics tools require sensitive private keys, leak user data, or rely heavily on slow, paid external infrastructure. I engineered this tool to be fully local—it requires no wall

If your automation just stopped mid-run, you have hit a quota limit. Here is exactly which one and how to fix it — free, no upgrade required, works at any order volume. Quick answer — the numbers that matter in 2026: Both consumer (free) and Google Workspace accounts get a 6-minute maximum execution time per script run — the old 30-minute Workspace limit no longer applies. Consumer accounts are capped at 90 minutes of trigger runtime per day; Workspace accounts get 6 hours of trigger runtime per

Most multi-tenant applications keep tenants apart with one line of code, SELECT * FROM documents WHERE organization_id = $1 That line is load-bearing. Forget it once — in a new endpoint, in a join, in Postgres Row Level Security moves that rule into the database, where ALTER TABLE documents ENABLE ROW LEVEL SECURITY; CREATE POLICY tenant_isolation ON documents USING (organization_id = current_setting('app.current_org_id', true)::uuid); The application sets one session variable per transaction, r

AI governance is no longer optional. Learn a practical five-step framework to manage AI agents, shadow AI, risk, compliance, and continuous monitoring.

Numbers are easy to skim. 10 Critical. 99 High. 59 Medium. 20 Low. 188 total. Those numbers appeared in the first article and they're striking — but they don't tell you what an attacker could actually do with them. This article is the deep dive. I'm going to take the most significant findings from the Snyk scan of MFlix and explain what each vulnerability actually enables, why it matters specifically for this application's threat model, and what the relationship is between the dependency version

We ran Agent K against 12 seeded production incidents. It named the correct root cause 5 times out of 12 — 3 out of 9 if you discard the runs we couldn't cleanly attribute. Over the same 12 runs it produced the correct rollback / no-rollback verdict 10 times, published zero claims without a SigNoz link behind them, and executed zero actions outside its policy gate. That gap between "diagnosed correctly" and "behaved correctly" is the entire project. Agent K was our entry for Agents of SigNoz (We

Reuters: China's market regulator says it had fined and confiscated ~$770M from Trip.com for abusing its dominant position in the domestic online hotel-booking market — China's market regulator said on Saturday it had fined and confiscated a total of 5.2 billion yuan ($770 million) from Trip.com Group …

One broken tool call. An agent retried it 400 times in five minutes. Nobody noticed until the bill arrived. This is what loop engineering exists to prevent.

Most Web3 communities aren't real communities. Learn how quests, airdrops, vanity metrics, and incentive farming create growth that quickly disappears.

Learn everything you need to know about Devops Tools via these 242 free HackerNoon blog posts.

Learn why moving your stop loss hurts long-term returns, the psychology behind it, and how disciplined risk management protects traders.

Learn the network security best practices that protect multi-site businesses with segmentation, zero trust, firewalls, secure remote access, and monitoring.

Learn why replacing Go MPSC channels with a database-backed queue made a GitHub workflow automation tool resilient to crashes, retries, and failures.

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Ima Jackson-Obot / Financial Times: Several universities including Yale, Johns Hopkins, and the University of Waterloo have restricted or disabled their use of AI detectors over accuracy concerns — Some institutions are overhauling assessment and trying to move away from the emphasis on surveillance

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7/25/2026: Top 5 stories on the HackerNoon homepage!

Pei Li / Bloomberg: Sources: DeepSeek told investors it is suspending its second funding round after remarks attributed to Liang Wenfeng on US-China AI competition went viral — DeepSeek has told prospective investors in its second fundraising round that it's suspending the deal for now, people familiar with the matter said …

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I recently set up a new server in my homelab and was excited to start experimenting with it. However, things quickly took a turn for the worse. I tried to install Docker, but it kept failing with a weird error message. I spent hours searching online for a solution, but nothing seemed to work. It wasn't until I stumbled upon a forum post that mentioned the importance of updating the package list before installing new software. I ran the command "sudo apt update" and then tried installing Docker a

The most dangerous sentence in an AI-built app is often: The bug is fixed. That sentence can mean several different things: the original symptom disappeared; the error message was hidden; the failing path was bypassed; the code now handles one example but not the workflow; or the change fixed one screen while quietly breaking another. I have learned to treat an AI-generated bug fix as a claim that needs evidence, not as a conclusion. The beginner-friendly rule is this: A bug is fixed only when t