What is Tool Calling?

Tool calling is the ability of an AI model to interact with external tools, APIs,...

Prompt Compression and Cache Tuning: Cut Your LLM API Costs by 60%

Cross-model guide to reducing LLM costs using prompt compression, semantic caching, chain-of-thought pruning, and output length constraints across OpenAI, Anthropic, and Google Gemini. Continue reading Prompt Compression and Cache Tuning: Cut Your LLM API Costs by 60% on SitePoint.

What are Agentic Workflows?

As organizations move beyond single-prompt AI interactions, agentic workflows are...

vLLM: Anatomy of a High-Throughput LLM Inference System

TrailBase 0.32: Fast, open and single-executable Firebase alternative

TrailBase is an open and fast Firebase-like backend for building your apps. It provides type-safe REST APIs + change subscriptions, auth, multi-DB, a WebAssembly runtime, geospatial support, admin UI... It's a self-contained, easy to self-host single executable built on Rust, Wasmtime & SQLite or now Postgres. Client libraries are provided for JS/TS, Dart/Flutter, Go, Rust, .Net, Kotlin, Swift and Python. Just released v0.32, which after some months of work and last posting (v0.28), includes: N

State-oriented consistency: Why we stopped looking for one right answer

Why vibe code in Lisp?

Why Target Common Lisp for Code Generation? I’ve been asked twice now: if the generated code doesn't matter—if the AI is doing the heavy lifting of writing the syntax—why do I vibe code in Common Lisp? Why not target Python, TypeScript, or Java? These are mainstream languages with massive training sets. The models can generate code in them with a high degree of statistical accuracy. So why do I choose to target a niche language like Common Lisp for code generation? There are a lot of re

What should I learn after Rust and Tokio as a junior developer?

I have completed the Rust Book and worked through Tokio’s documentation/tutorials on async programming, concurrency, OS threads vs tasks, spawning, shared state, mutexes, and channels. I understand these concepts when reading code, but I am not yet confident writing Rust projects independently. I am a fresher with some JavaScript and web-development experience, but little to no experience with low-level or C++-style engineering. I’m more interested in backend/systems work than frontend devel

Antony Pegg: Postgres for Agentic AI: Your Database Is a Compute Layer, Not a Parking Lot

PostgreSQL is already the default database for agentic AI. That question is settled. But the more agentic your workloads get, the more your database needs to do. Models and workflows flood it with signals, state, memory, and checkpoints, and most teams just absorb the flood, treating PostgreSQL like a parking lot rather than a compute layer. The people building these systems are AI engineers, not database people. They haven't explored what PostgreSQL can actually do when you treat it as a first-

Qwen3.8 Max now ranked as the best overall model by agentic index

Show HN: Science for Kids

Inside Android Skills - Built for deprecation

Posted by Jose Alcérreca, Developer Relations Engineer, Android Developer RelationsWe released the official Android Skills in April, and the response surpassed all our expectations. In this blog post, I'll address some of the feedback we received, explaining the philosophy and methodology behind the project. Hopefully, this will also help you understand what happens behind the scenes when you install and use skills, allowing you to make better use of tokens and your own time. Why are there so

Properties

Code is a set of instructions for a computer to follow.But code also has additional properties, beyond its runtime behaviour. There are lots of them.A simple one is readability. Some code is cryptic; it takes a lot of investigation to figure out what it will do. Some code is self-explanatory. It’s written in a clear style so that most programmers can quickly figure out what it will do. It has extra comments added to fill in any missing explanations.Another one is idempotent. The first time you

Hostinger joins WordCamp US 2026 in Phoenix, Arizona

On August 16-19, WordCamp US 2026 comes to downtown Phoenix, bringing together the developers, agencies, creators, and contributors shaping the future of WordPress.This year’s agenda reflects where the platform is headed: AI-assisted development, agentic workflows, block migration at scale, and the practical realities of running WordPress sites and businesses.Hostinger will be there as an Author-level sponsor, and we’re looking forward to connecting with the WordPress community and hearing w

Why Crux isn't more popular than it is?

Out of all the existing libraries for app development, to me Crux is the absolute endgame. Clean, pure core + plug in any UI you want. But I've barely seen anyone using it... If you personally ever stumbled upon Crux and decided that it is not for you why? You didn't need that level of abstraction or you chose something better? (and what did you go with instead)? submitted by /u/__s1 [link] [comments]

I made a CAD program in Rust

Hi everyone! I built a CAD application in Rust and used Iced, which is also written in Rust, for the UI. If you'd like to check it out, take a look at the GitHub repository: https://github.com/HakanSeven12/OpenCADStudio submitted by /u/Grand-Document6597 [link] [comments]

Adopting the Cross App Access Protocol: Get Ready for MCP Enterprise-Managed Authorization with Auth0

Explore how to expose APIs and MCP servers to trusted AI agents using Auth0 and the Cross App Access (XAA) protocol.

Into the Omniverse: How Open World Models Push the Frontier of Physical AI

Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. In July, NVIDIA joined more than 200 companies and organizations in signing “Open Weights and American AI Leadership,” an open letter arguing that AI leadership will be measured not by any single frontier model but by whether an open ecosystem reaches every sector.  Op

Where to Learn Rust for IoT

Hey, i'm curious on where to start learning Rust for Internet of things? i have googled a few but cannot find what i want, maybe some books like "Rust for the IoT" but wanted to collect more info first submitted by /u/Former_Scientist_701 [link] [comments]

Vibhor Kumar: ORBIT: An Execution Framework for Reliable Enterprise AI

Why AI Reliability Is an Execution Problem, Not a Model Problem The most dangerous AI decision isn’t the wrong one. It’s the one nobody can explain afterward. Most conversations about AI reliability start in the wrong place. They start with the model — its accuracy, its reasoning quality, its benchmark scores — as if reliability were something a better model eventually solves. It isn’t. A model can retrieve the right documents, reason correctly, and select the right action, a

Quiz: Python's Assignment Operator: Write Robust Assignments

In this quiz, you’ll test your understanding of Python’s Assignment Operator: Write Robust Assignments. By working through this quiz, you’ll revisit how to write assignment statements, work with parallel assignment and iterable unpacking, use augmented assignments, and explore variants like the walrus operator and managed attributes. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Clic

Cuprate – an alternative and independent Monero node software written in Rust

August ratcn preview: Layers, modals and screen savers!

Focusable layers are now in place which makes it is easy to build next generation Rust TUI apps with dialogs, toasts and .. screen savers. Website was updated with some more demo apps and concept descriptions: State and messages Rendering and events Focus, hover and identity Layers and modals Themes Host integration Mouse input Dragging Structuring a larger app Custom components Design decisions Before preview library release: Cleanup a few components Refactor the rendering engine submitt

Demystifying Postcodes and ZIP Codes

Learn about global postal geography. Discover how ZIP codes and postcodes work worldwide, explore custom developer formats, and learn how to map address data.

BigQuery to Databricks: A Strategic Framework for Modern Migration

Migration as a strategic evolutionBigQuery is often the standard for starting fast, but for many enterprises...

Building LLM-Agnostic SaaS

There are a lot of capable LLMs: OpenAI, Anthropic, Gemini, Kimi, Meta, and many others. Most of them can generate good outputs and call tools reliably. But they don't behave the same way. A prompt that works well with one model may fail with another. One model might be great at tool calling but bad at structured output. Another might follow complex instructions well but struggle with a specific type of reasoning. So, how do you build a SaaS that can move between models without breaking the task

7 Tools for Multi-Agent Infrastructure

A single agentic workflow calling a single API is an easily tractable engineering problem — the solutions exist, and it’s ultimately just a problem of visibility and integration. A fleet of specialized agents delegating tasks to each other, sharing state, and discovering tools at runtime is decidedly more difficult — almost an order of magnitude in many applications. This is a systems engineering problem at its core, and it’s one that most organizations are only just beginning to underst

Crime Pays but Botany Doesn't

What AI First Engineering Orgs Look Like

Every process a software team runs was built to manage a scarce resource. For twenty years that resource was engineering time. Waterfall managed it with sequencing. Agile managed it with short cycles and constant renegotiation. Both approaches assume the same thing: writing code is the expensive step, so protect it with process.

Infrastructure Gravity & Domain Engineering

Are we all hand-rolling our OAuth2/Keycloak integrations?

The place I work is moving towards a Rust-based microservices setup with service-to-service comms over gRPC. At the same time, a zero-trust policy is being enacted. I’ve only been working with Rust about a year, but it seems like there are some crates that are everyone’s go-to for specific things: `tonic` for gRPC, `tokio` for async, `serde` for de/serialization, `rustls` with `aws-lc` for TLS, etc. I’ve seen `jsonwebtoken` exists to do the basic destructing/inspection of a JWT and cachin

A Gallery of Installing from .dmg

Pushing the limits of RISC-V emulation

Downcasting Arcs in Rust

The Arc type is Rust’s thread-safe smart pointer, and like other pointer types in Rust (e.g., Box), one can use the as keyword1 to cast an Arc<MyStruct> into an Arc<dyn MyTrait>, as long as MyTrait is dyn compatible. What about casting it back from Arc<dyn MyTrait> to Arc<MyStruct>? Well, here the plot thickens a bit. We can’t use the as keyword here, because that operation is inherently unsafe. An arbitrary Arc<dyn MyTrait> might not hold a MyStruct in it, but some other object that implem

Prime Agent: A self-improving RLM agent

We let models localize into 16 languages. How we made it read native.

I'm switching my phone from Android to Linux

Can you reverse engineer an ASIC?

"AI" will never become conscious

See the Sun like never before with most detailed images yet

SurtGIS 1.0: a single-binary geospatial library — no GDAL, Rayon, WASM, PyO3

After about a year, SurtGIS just hit 1.0. It's a raster GIS library — terrain, hydrology, remote sensing — written entirely in Rust with no GDAL dependency (native GeoTIFF I/O; GDAL is an optional feature). Rust bits that might interest this sub: • One workspace, seven published crates; targets native + wasm32 + Python (PyO3, abi3 so a single wheel covers 3.9+). • A maybe_rayon pattern: a compile-time switch between Rayon-parallel and sequential, so the same code powers the multi-threade

Elizabeth Garrett Christensen: Postgres COUNT(DISTINCT) Too Slow? Fast Approximation Guide

That's 320 milliseconds vs 671 ms for exact COUNT(DISTINCT) which is about twice as fast on a single scan. Also HLL isn't just about raw speed on one query. The function names are a bit verbose but the pattern is always the same: hash the value, aggregate the hashes into an HLL, then ask for the cardinality. Preaggregate for instant queries The real power of HLL is that sketches are mergeable. This is the key concept that makes them different from just "a faster COUNT(DISTINCT)." You can build a

When "no healthy upstream" isn't about the upstream you think

Discovery Loop

Vibe Coding interview

My coding agent interviewed me about `vibe coding': Victoria: Alright, the recorder is on. Let’s get into it. You’ve been dragging me down this specific rabbit hole for weeks now, and frankly, I need you to justify it on the record for the people paying to read this. You’re obsessed with “vibe coding.” From where I’m sitting, it looks like you throwing vague, half-baked architectural concepts at my processing queue and hoping I hallucinate a functional codebase out of thin ai

Amazon DynamoDB now supports real-time vector search at any scale

Today, we’re announcing the general availability of vector search in Amazon DynamoDB. You can now store vector embeddings alongside your operational data in DynamoDB and run similarity searches directly against that data, without replicating it to a separate vector store. DynamoDB supports native vector search with single-digit millisecond latency at 99%+ recall, and is designed for any scale, even trillions of vectors. There are no servers to provision, patch, or manage, and no software to i

Cloudflare OS – an open-source AI productivity environment

Building an Advanced Agentic Harness

TSON – A JSON superset with immutable, hash-pinned schemas

Semantic field: one field for multimodal search in Elasticsearch

Not hiring junior engineers won't solve the problem you think you have

Rubin Observatory's first LSST Camera release: 500k galaxies in the COSMOS field

Show HN: Vocab Top – AI-powered vocabulary builder that helps you retain words

Looking for Storybook-for-Rust

Just like the title says. I'm creating an app with rust. And I see that as it scales I'm going to split out the UI components to its own repo. In my JavaScript projects I can use storybook. It's very useful to develop and demo the components. I'm planning on using dioxus, I might consider leptos after I compare the 2 in more detail. Unlike my JavaScript apps, I'm aiming to use rust to be able to deploy to multiple platforms (not just a webapp). I think a particular detail worth mentioning is a C

Universities would prefer no AI

5 best practices for preventing chaos in Tailwind CSS

Authors: Nina Torgunakova, Frontend Engineer, and Travis Turner, Tech EditorTopics: Tailwind CSS, CSS, JavaScriptTailwind CSS has become a very popular CSS framework, and it can speed up development. But using it without proper caution can add mayhem to your code. Learn best practices to avoid getting swept away!Working with Tailwind CSS is pretty fast and easy (that's why it's received such wide recognition). You just paste a list of different classes in your HTML—and your interface immediat

Governance Is a Developer Experience Problem

This is the third post of a 3-part series by Docker Captain Karan Verma. Catch up on Part 1: Your Laptop Is the New Production Environment and Part 2: Runtime Enforcement, Not Runtime Advice. The conversation around AI governance often starts with security. That’s understandable. When autonomous systems can execute commands, access tools, and interact with production-adjacent environments, organizations naturally focus on risk. But after spending time thinking about agent workflows, I’ve

Cloudflare OS: an open platform for agents, apps, and work

Every organization has a mission, a reason for being. Organizations pass that mission — along with their terminology, procedures, systems, standards, and ways of working — to their people. People, in turn, take this context together with their own experience and work towards the mission.Work can take many forms, from code, to documents and slides, to relationships, to outcomes in the physical world.Some of these are straightforward: code either runs or it doesn’t. Agents have been using th

Stop Running Your Development Team on One LLM Provider

A CTO's Playbook for Resilient AI Coding Infrastructure Your database has redundant replicas. Your servers fail over. Your Disaster Recovery Plan (DRP) is documented and tested. Yet your entire engineering team's productivity depends on a single vendor's infrastructure. That single point of failure (SPOF) is an architectural risk this playbook fixes. The Market Reality: No SLA, No Recourse When you build your development workflow on a single LLM provider, you are running a production syste

Wellingtone Luvonga: Mastering PostgreSQL Configuration Management with CloudNativePG (CNPG)

If you are a traditional database administrator (DBA) transitioning to Kubernetes, the cloud-native ecosystem can feel like a series of personal attacks on your workflow. For years, your terminal was your home. If a query was running slow, you SSH’d into the VM, opened /var/lib/pgsql/data/postgresql.conf in vim, bumped up shared_buffers, and ran a quick pg_ctl reload. If you needed to lock down access for a new application server, you hopped into pg_hba.conf, appended a new

2026-08-05 10:07

For several months now, new models have been able to operate autonomously for hours and generate rather complex projects. AI is Burning Moneyhttps://www.tomshardware.com/tech-industry/artificial-intelligence/amazon-accidentally-spent-usd1-8-million-using-claude-for-menial-coding-task-went-860-percent-over-budget-catastrophically-expensive-coding-blunders-discovered-in-internal-amazon-ai-usage-metricsAmazon accidentally spent $1.8 million on Claude Sonnet for a simple task (matching authors with

CloudJump III Optimizing Cloud Databases for Tiered Storage(SIGMOD 2026)

在云原生数据库的演进中, 计存分离让计算层和存储层可以独立扩展, 共享存储让多个计算节点访问同一份数据成为可能. 在《CloudJump: Optimizing Cloud Databases for Cloud Storages》(VLDB 2022) 中, 我们分析了存储介质从本地盘变成云存储之后, 数据库在 IO 路径上需要做的一系列重新设计; 在《CloudJump II: Optimizing Cloud Databases for Shared Storage》(SIGMOD 2025) 中, 我们提出 MVD (Multi-Version Data) 技术,

UK Cybercrime Journal: Qilin Ransomware Rampage in H1 2026

What HappenedThroughout H1 2026, the Qilin ransomware-as-a-service (RaaS) Tor data leak site (DLS) listed the most UK-based victims out of all ransomware gangs, with up to 37 British organisations hit in total. Qilin's victim count is followed by DragonForce with 21 victims listed, and TheGentlemen with 18 listed.The fallout from the Qilin attack on the UK National Health Service (NHS) supplier, Synnovis, in 2024 persists as well. On 1 June 2026, the Bedfordshire Hospitals NHS Foundation Trust

rust-lang/rust is adopting an LLM policy

"Gravity is worth asking about."

Rio-vt and librio: Rio's terminal engine, now embeddable

KernelBrain: Coarse-to-Fine, Budget-Aware Search for Agentic GPU Kernel Optimization

arXiv:2608.02611v1 Announce Type: new Abstract: Automating GPU kernel optimization remains difficult in practice: generated variants can violate correctness constraints, runtime measurements are noisy, and search often stalls early. We present a practical optimization agent that combines LLM-guided mutation, adaptive resource allocation, policy-gated evaluation, and profiler-informed diagnosis. The system screens many candidates with low-cost evaluation and allocates higher-fidelity budget only

Separating Intelligence from Inference: A Standard for Edge-Native AI Computing

arXiv:2608.02608v1 Announce Type: new Abstract: The artificial intelligence industry has constructed a USD 300 billion centralized data center infrastructure to serve a workload, large language model inference, that does not architecturally require centralization. This paper articulates the central architectural inefficiency of contemporary AI infrastructure: the conflation of model training (irreducibly centralized, capital-intensive, one-time per model version) with model inference (paralleli

BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems

arXiv:2608.02612v1 Announce Type: new Abstract: Formulating an optimization problem strongly affects the quality of the final solution, yet good formulations usually require substantial expertise. Recent studies have therefore examined how to automatically derive optimization problems from natural-language descriptions, but existing benchmarks focus on settings where objectives and constraints can be written explicitly as mathematical expressions. Many practically important problems are natural

An Empirical Analysis of the Glob Ecosystem

arXiv:2608.02610v1 Announce Type: new Abstract: Glob patterns, a domain-specific language for structured string matching, are a foundational yet understudied component of modern software development embedded in everything from build scripts and configuration files to web server routes. However, this widespread use rests on a fragile foundation. Despite their ubiquity across tools and programming languages, a lack of standardization has led to a fragmented ecosystem rife with inconsistent behavi

Near-Optimal Algorithms for Maximal Clique Enumeration in Structurally Sparse Graphs

arXiv:2608.02614v1 Announce Type: new Abstract: We study the exact enumeration of maximal cliques in graph classes defined by excluded clique minors and excluded clique immersions. For n-vertex K_t-minor-free graphs, we give an algorithm that lists all maximal cliques in n * 4^(2t/5+o(t)) time, significantly improving the previous n * 2^O(t log log t) bound of Eppstein, L\"offler, and Strash. For n-vertex K_t-immersion-free graphs, we establish the first exact enumeration algorithm parameterize

From boiling lead and black art: The history of mathematical typography (2017)

React Prerequisites

This is the starting point for the React Internals series. It assumes you can build React components and want sharper names for the machinery those components use. React makes a promise that feels simple in application code: give React the current props, state, and context, and it will make the screen match. That promise depends on a small vocabulary. If "render" sometimes means a component function call, sometimes a DOM update, and sometimes browser paint, React internals become hard to follow.

Eight Myths on Software Engineering and GenAI

Oxide RFD 284: Loading the Host Operating System

Managing Imports With Python's __all__

Python has something called wildcard imports, which look like from module import *. This type of import allows you to quickly get all the objects from a module into your namespace. However, using this import on a package can be confusing because it’s not clear what you want to import: subpackages, modules, objects? Python has the __all__ variable to work around this issue. The __all__ variable is a list of strings where each string represents the name of a variable, function, class, or module

Introducing [email protected], a minimalistic macro html renderer

Hey folks! I'm interested in the design space of template libraries these days and I coded in the past feel weeks a maud alternative for rendering html through macros. My main challenge was to use as much Rust as possible (traits and structs) and as feel macros as possible. Since all the libraries in this space are macro heavy (proc macros or very complex declarative macros), I really liked what I could achieve here. There's a single trait, one very small macro (5 lines or so) that rustfmt forma

Open-weight AI models are catching up to the frontier. The safety gap remains.

Unity AI Gateway is Generally Available

The last six months have seen a rapid rise in AI-powered productivity and a proliferation...

Launch HN: EdotEnv (YC S26) – Quant Trading RL Envs to Teach LLMs Research