Nobody Asked This Agent to Open This Pull Request - It Did Anyway
🌍 HackerNoon

Nobody Asked This Agent to Open This Pull Request - It Did Anyway

Once your machines open their own pull requests, and your engineers are already opening far more than before, you are producing more change than any human review process was built to handle. Which is the other reason taking the human out of routine review stopped being a someday idea and became a problem I had to solve now?
HackerNews

Exploring PDP-1 Lisp (1960)

Article URL: https://obsolescence.dev/pdp1-lisp-introduction.html Comments URL: https://news.ycombinator.com/item?id=48727323 Points: 27 # Comments: 14
🌍 TheVerge

Leaked iPhone 18 Pro photos reportedly wound up on the dark web

Leaked iPhone 18 Pro photos and parts lists appeared on the dark web following a data breach affecting one of Apple's key suppliers, according to a report from Reuters. The leaked images show a drop test of what a source tells Reuters is the iPhone 18 Pro, equipped with a three-camera layout and Apple logo. […]
🌍 TheVerge

After a great start, DC’s new cinematic universe is already slowing down

While Kara Zor-El's appearance at the end of James Gunn's Superman was a very pleasant surprise, Warner Bros. Discovery's plan to fast-track a standalone Supergirl feature always felt a little dubious. It seemed odd that, after Superman, the studio wanted to flesh out its new cinematic universe with films about another Kryptonian and one of […]
🌍 TheVerge

T-Mobile is booting customers from its oldest plans

Earlier today, T-Mobile started notifying customers that it will be retiring many legacy plans and moving subscribers onto one of its current rate plans. This move includes plans that date back to the 3G era, and it's going about as well as you'd expect. Affected customers began sharing screenshots of the text on reddit and […]
🌍 Dev.to

Google A2A Protocol in 2026: Adoption, Hype, and Reality

Google's Agent2Agent protocol, usually shortened to A2A, had a strange first year. When Google announced A2A in April 2025, the pitch was clear: AI agents built by different vendors, frameworks, and teams needed a standard way to communicate. The protocol promised agent discovery, task delegation, message exchange, streaming updates, and artifact sharing. The reaction, however, was considerably less clean than the announcement. Some developers saw A2A as the missing agent-to-agent layer fo...
🌍 Dev.to

I replaced hooking libraries with one rust crate

TL;DR: I've shipped hooks with different libs before. I even wrote own hooks in assembly, expected the usual C++ headache, and instead found neohook (v0.11.0) a Rust crate that does inline hooks, trampolines, mid-function hooks and more, I disassembled what it produces to make sure it wasn't cheating. It wasn't. It's now the only hooking library I reach for and because it ships a C ABI, I use it from C, C++ and Python too. How I got here I wanted to intercept a function cal...
Approval Queues Are the Runtime for Agentic AI Workflows | Focused Labs
🌍 Dev.to

Approval Queues Are the Runtime for Agentic AI Workflows | Focused Labs

An exception queue is the next agent interface to embed. Dull. An exception queue is fundamentally simple. All enterprise autonomy requires is for the agent to create a review item (e.g. an Approval item) and park its state. Then it waits for someone to make a decision, and resumes execution when done. If the AI agentic workflow depended on someone physically being present to “review” the AI (e.g. by staring at chat) then it would simply be another chat app, dressing up in a hard hat for work...
🌍 Dev.to

Eu decidi — de novo — me dedicar aos jogos.

Aos 12 anos, eu decidi que ia fazer jogos. Passei por volta de 5 a 6 anos usando RPG Maker. Comecei muitos jogos, tive várias ideias e aprendi bastante coisa, mas terminar um jogo? Não, isso não. Na pandemia de 20, voltei a programar e, junto com minha esposa, fiz um quiz sobre a cultura potiguar. Fomos aprovados em um edital público de incentivo aos jogos, e foi a primeira vez que ganhei dinheiro programando e fazendo um jogo. Foram dois cajados com um coelho só. Mas depois eu parei. Na m...
🌍 Dev.to

How to Write Content That AI Search Engines Actually Cite

Most content advice for AI search treats writing as an SEO problem with new rules. It is not. It is a citation problem with old rules, applied differently. Ranking on Google was about earning the click. Getting cited by ChatGPT, Perplexity, or Google’s AI Overviews is about earning the quote, a discipline known as answer engine optimization when it focuses on direct-answer citations. This guide breaks down what AI engines actually look for in a piece of content, the seven writing moves that t...
🌍 Dev.to

LLM Integration in CI/CD: Real Use Cases Beyond Code Completion

A GitLab API token appeared in a README.md file. It was committed, pushed, and reviewed by two engineers before merging. Nobody caught it. This was not a junior developer's mistake. Both reviewers were experienced. The token was on line 47 of a 200-line file, sandwiched between installation instructions. At the end of a sprint, with three other reviews queued, it looked like documentation. It was a secret sitting in plain sight. We caught it the next day during a routine audit. By then it ...
🌍 Dev.to

Why I Built "WIN RAK": A Privacy-First Alternative to Passive Location Tracking

Location sharing has become normal. Most people use it for simple reasons: checking if family arrived safely coordinating with friends helping elderly relatives finding children handling emergencies But most existing apps solve this with the same model: continuous passive tracking. That model always bothered me. Not because it doesn’t work. But because it changes the relationship between trust and location. The Problem with Passive Tracking M...
🌍 Dev.to

Building a passwordless, Gemini-advised dashboard on the "zero stack"

I built Kajota Pulse and wrote this article as my entry for the **AWS × Vercel "H0: Hack the Zero Stack" * hackathon ( #H0Hackathon ). Live app: kajota-pulse.vercel.app · Code: github.com/KaJota-inc/kajota-pulse * The problem nobody builds for Across African micro-commerce, "co-sellers" buy stock from wholesalers and resell to their network for a markup. There's a whole industry of tools for writing the listing . There's almost nothing for the question that actually decide...
🌍 Dev.to

Deploy AI agents in 5 lines of code.

TL;DR Build AI-agents in 5 lines of code. Skip the set up & infrastructure. Live and running. from custodian_labs import Custodian app = Custodian ( model = " gpt-4o " , system_prompt = " You are a concise, helpful assistant. " , ). deploy () print ( app . chat ( " Hello! " ). response ) print ( app . chat_url ) # ← live, shareable URL Runnable Colab notebook here . Skip the infrastructure ...
Building BrewCore: Espresso Tracking on Vercel, DynamoDB, and Amazon Bedrock
🌍 Dev.to

Building BrewCore: Espresso Tracking on Vercel, DynamoDB, and Amazon Bedrock

Beyond the Timer: How I Built BrewCore for the H0 Hackathon Home espresso is a paradox. Baristas obsess over the micro-details the gram weight, the seconds on the clock, the pressure profile-but we usually track it all on sticky notes or fragmented mental maps. When that morning shot turns sour, we don’t have a database to query; we have a bad cup of coffee and a Reddit thread from 2019. For the H0 Hackathon , I wanted to bridge that gap. I've built BrewCore : a full-stack coffee comp...
🌍 Dev.to

How We Built StyleSense: AI Virtual Try-On Powered by Amazon Aurora & Vercel

Online clothing returns cost the industry over $816 billion a year. The root cause is simple: shoppers can't see how clothes look on their body before buying. We built StyleSense to fix that — an AI-powered virtual wardrobe where you upload a selfie, add clothes from any product URL, and instantly see yourself wearing them. Here's how we built it, and why Amazon Aurora PostgreSQL and Vercel were the right choices for a 72-hour hackathon build. The Stack Frontend : N...
Making the Context Across 46 Repositories Semantically Searchable for AI (Part 2)
🌍 Dev.to

Making the Context Across 46 Repositories Semantically Searchable for AI (Part 2)

Hi, I'm Ryan , CTO at airCloset. In Part 1 , I wrote about unifying 46 repositories of production code into a single knowledge graph via static analysis. The graph itself got built, but I closed the post with four open issues : no semantic search, node explosion, having to open the file to actually know what a function does, and the cost of writing a new parser every time a new boundary pattern showed up. This Part 2 is about how I solved the first one — the entry-point problem (no sem...