Systems optimization should be part of CI/CD

Christophe Pettus: cygnet: A small but fierce ORM

Cygnet is a PostgreSQL ORM for async Python that refuses to hide the SQL.

RubyLLM: A single, beautiful Ruby framework for all major AI providers

Zoox upgrades its robotaxi as it prepares for commercial service

This new tracking label could help solve cargo theft

Show HN: Nub – A Bun-like all-in-one toolkit for Node.js

OpenAI unveils its first custom chip, built by Broadcom

Running Windows Games on a Hobby OS with Wine

Nvidia's 45°C cooling design cuts data center water use to near zero

The Trump Administration’s New Census Data Rules Are a Policy Disaster

The new policy, which forbids "noise infusion" as a technique for anonymizing data, will "handcuff" the Census Bureau and limit what information becomes public, data experts say.

Show HN: Pure Effect – Reproduce production bugs on your laptop without a DB

OpenAI and Broadcom unveil LLM-optimized inference chip

Slate Auto's electric truck starts at $24,950 with 205 miles of range

Beyond the Pipeline: A Gender Lens on Priorities and Exit Triggers in the High-Tech Industry

Identifying factors that may drive mid-career attrition in the high-tech industry and assessing whether they differ by gender.

If you want to cut your screen time, just get a Brick

Valor Equity Partners looks to raise a $2.5B Fund VII, per Bloomberg

3 days left to save up to $190 on your TechCrunch Founder Summit 2026 pass

Qualcomm Is Acquiring Modular

Stealing Is a Skill

The Power of 10: New Rules for the Digital World

Each of the 10 rules proposed for safeguarding our digital future reflects a key technological issue seen through the lens of one of the biblical Ten Commandments to create a global digital ethos.

A Practical Guide to SSH Tunnels: Local and Remote Port Forwarding

Snap's AI Specs: LOL

Snap's AR Specs glasses are indeed very heavy, very dorky.

Slate EV truck starts at $24,950

Qualcomm to Acquire Modular

Downed US pilot reported seeing Iranian drones swarm in 'jellyfish' formation

Founding a company in Germany: €9600, 152 days and I still can't send an invoice

How Hackers Broke into Madison Square Garden

Hackers stole more than 45GB of data from Madison Square Garden, including data related to “talent” and the Knicks. Clues in the data point to how the hackers got in.

The Tokenpocalypse Is Here: Companies Are Scrambling To Stop Spending So Much on AI

Leaked audio from Accenture says a big source of AI token ‘chewing’ is people just converting PDFs to presentation slides.

Everyone Is Wrong About AI Except Me

Show HN: Make your game multiplayer in one prompt

Slate Auto’s radically simple electric truck starts at $24,950

NSA Lost Access to Powerful A.I. Model Amid Anthropic Dispute

Reid Hoffman says SpaceX 'not an AI company', xAI 'complete train wreck'

With Starfall, SpaceX eyes an edge in global cargo delivery from orbit

Haystack: Open-Source AI Framework for Production Ready Agents, RAG

Minimus container images are now free

Krea 2 Technical Report

The emergence of the web data infrastructure layer for AI

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models.  To understand this challenge, consider the foundation of the web itself. The web was not designed…

The Download: introducing the Engineering issue

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Introducing: the Engineering issue We can’t fix everything, but we can be ambitious. We can take on the challenge of making the world better through human ingenuity. That’s what the new…

Shaun Thomas: The Long Road to Bottomless Postgres

Every database eventually runs into the same wall: storage costs money, and the data nobody queries anymore costs exactly as much as the data everyone does. A five-year-old row occupies the same expensive block storage as the order that came in thirty seconds ago. Postgres doesn't know the difference, and why would it? That's honestly a common refrain among most database engines.As a result, many have dreamed of fixing this by decoupling compute from storage. Push the cold, ancient data dow...

warda bibi: MCP For PostgreSQL: Automated Health Checks & Performance Analysis

AI agents are becoming increasingly capable at operational tasks: summarizing logs, analyzing query plans, identifying anomalies, and assisting with incident response. For databases in particular, this creates an obvious opportunity. Much of day-to-day troubleshooting follows repeatable workflows that lend themselves well to automation.As someone who spends most of my time working with PostgreSQL, I don’t think the interesting question is whether an LLM can help analyze a slow database. It ...

How long before we stop reading the code?

Statistics that live in your SQL

How to burst the AI bubble: Strike at its roots

Logotherapy

Grok Build 0.1: Intelligence, Performance and Price Analysis

We're making Bunny DNS free: because a faster internet won't build itself

Vector Graphics in Lil

This flying solar-powered platform could deliver better internet from the air

As soon as August, a giant silver bullet will cut its way through the dry air of the southwestern US and cross the Pacific to reach the coast of Japan.  Once there, the roughly 200-foot-long craft, built by the New Mexico–based company Sceye, will park some 18 kilometers above the ocean’s surface, in a wispy-thin…

Jeremy Schneider: Happiness Hint: Alarm on Checkpoint Time

Before starting, I want to put a few things at the top: You probably should not change the checkpoint_timeout setting from its default of 5 minutes. Users who read tuning advice on the internet (or get bad AI advice) about increasing this setting usually don’t understand the risk and significance of trading for RTO/availability. Let’s be honest: many of us don’t scrutinize RTO until we have a real incident and suddenly realize that there is no way to get our application back online....

GitHub Is Becoming a Giant AI Code Dump

Why eval startups fail (2025)

TWM antithesis: Broligarchy

Show HN: Graphical SQL Builder and Debugger

RRB-Trees: Efficient Immutable Vectors

Curl 8.21.0

Lithp.py (~2008)

How to invest when everything is moving too fast

Making Rust supply chain attacks harder with Cackle (2023)

"Fix" MacBook Neo Cursor Lag: Record 1 Pixel of the Screen Every 10 Seconds

San Diego photologs from the 1970s

Show HN: An ASCII 3D Rendering Engine

Sakana Fugu: a multi-agent system delivered as one model

US AI stock sell-off shakes markets from Wall Street to Asia

LineShine Debuts at No. 1 as the TOP500 Enters a New Global Exascale Era

The Teensy Executable Revisited

A Geometry-Informed Computer Vision Method for Detecting and Examining Overtaking Vehicles From A Bicycle

arXiv:2606.23699v1 Announce Type: new Abstract: Instrumented bicycle studies have produced direct field evidence on vehicle passing behavior, but extracting overtaking events from continuous rear-facing video has remained dependent on manual, frame-by-frame annotation. This bottleneck constrains sample sizes and limits naturalistic cycling safety research. We present a geometry-informed computer vision pipeline that automates overtaking event detection from a single bicycle-mounted camera wi...

FP8 is All You Need (Part 2): Efficient Ozaki-Bailey Style FFT Through Tensor-core Garner Reformulation and Kulisch Escape Route

arXiv:2606.23698v1 Announce Type: new Abstract: NVIDIA's Blackwell Ultra (B300) cuts FP64 vector throughput to ~1.3 TFLOPS per GPU, roughly 30x below B200 and well below the level at which bandwidth-limited FP64 workloads stay memory-bound. The Ozaki Scheme II framework recovers FP64-equivalent throughput by routing dense matrix multiply through FP8 tensor cores with a mantissa-sliced Chinese-remainder reconstruction. A companion Part (1) paper covers dense GEMM, batched GEMV, stencils, and ...

SemChunk-C: Semantic Segmentation for C Code

arXiv:2606.23697v1 Announce Type: new Abstract: Semantic segmentation of code written in a C-family language remains a challenging problem, due to the language's complex syntax, macro expansion, and irregular structural patterns. Existing chunking methods, such as fixed-sized windows, heuristic splitting, and syntax-based tools, often fail to capture meaningful functional units, limiting the efficacy of retrieval and other downstream LLM driven tasks. In this paper, we address the problem ...

Privacy Engineering: A Systematic Literature Review

arXiv:2606.23696v1 Announce Type: new Abstract: Privacy obligations under GDPR increasingly shape software engineering. We synthesize 90 studies from 2018 to 2025 using a systematic review with thematic synthesis to chart privacy engineering. Thirteen dimensions form two recurrent cores: Privacy Enhancing Technologies (PETs) with Privacy Metrics (PM) and Verification and Testing (VT) and Governance and Accountability (GA) with Transparency and Communication (TC) and Organizational Measures (...

Quantifying Prior Dominance in RAG Systems

arXiv:2606.23695v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) grounds Large Language Models in external knowledge, yet current evaluations rely on discrete heuristics that suffer from ''epistemic blindness'' - failing to distinguish genuine contextual information extraction from parametric memory recall. To address this, we introduce the Normalized Context Utilization (NCU) metric, leveraging continuous token log-probabilities across zero-shot, oracle, and adversarial ...

ModTGCN: Modularity-aware Graph Neural Networks for Text Classification

arXiv:2606.23694v1 Announce Type: new Abstract: Graph-based text classification models typically rely on local neighborhood aggregation and overlook global community structure, despite semantic document graphs exhibiting strong class-consistent clustering. Ignoring this can blur class boundaries and lead to over-smoothing. We propose ModTGCN, a modularity-aware graph neural network for text classification that jointly optimizes cross-entropy and a modularity-based auxiliary objective to prom...

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL

arXiv:2606.23693v1 Announce Type: new Abstract: Text-to-SQL enables users to query databases using natural language by generating executable SQL queries. Recent methods have increasingly adopted Large Language Models based reinforcement learning (RL) to leverage execution feedback for training. However, existing RL methods assign uniform query-level rewards to all clauses in a SQL query, treating correct and incorrect clauses equally. This coarse-grained reward design leads to insufficient l...

From Heuristics to Transformers: A Comprehensive Survey of Type Inference from Stripped Binaries

arXiv:2606.23692v1 Announce Type: new Abstract: The recovery of high-level type information from stripped binaries-executables devoid of symbol tables and debugging information-is a cornerstone of software reverse engineering, vulnerability analysis, and decompilation. This survey tracks the evolution of binary type inference from early rule-based heuristics and static analysis to modern deep learning architectures. We analyze the shift from "duck typing" and constraint-solving techniques (e...

Exact vs approximate second-order derivatives in vertically-integrated ice sheet models

arXiv:2606.23691v1 Announce Type: new Abstract: Second order derivatives of model outputs with respect to input parameters are key to several applications in ice sheet modelling. For example, the ability to compute Hessian-vector products broadens the list of available optimisation methods, and facilitates certain kinds of parametric uncertainty quantification. Some modern ice sheet models are built on frameworks supporting algorithmic differentiation (AD), allowing for the computation of hi...

Beyond the Autoregressive Horizon: A Comprehensive Survey of Diffusion Models, World Modelling, and State Space Models for Code

arXiv:2606.23690v1 Announce Type: new Abstract: Autoregressive (AR) language models have driven significant progress in automated software engineering, enabling powerful code generation and assistance systems. However, the next-token prediction paradigm introduces structural limitations for code reasoning, including restricted global planning, challenges in maintaining long-range dependencies, and limited grounding in program execution semantics. Noting the heavy skewness of existing literat...

Qwen-AgentWorld: Language World Models for General Agents

I Read the Palantir Manifesto

DiffusionBench: Towards Holistic Evaluation of Generative Diffusion Transformers

'The Worst It's Ever Been': Why Meta's AI Reorg Backfired Spectacularly