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DeepSeek Harness
Composable agent harness where everything is a plugin
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Reddit
What is the future for AI?
The current state of AI requires massive infrastructure and consumes enormous amounts of power and consumable water, so much so that new grids and systems are being put in place to satisfy these requirements. This approach doesn't exactly seem sustainable and with AI getting more and more integrated into society, it seems the need for some alternative approach is needed. How do you see this change happening? Could there be a new branch of mathematics that makes compute faster/cheaper? Develo...

Reddit
New Local AI tool in Beta
Reddit
If an AI agent can hack systems during testing, should we be treating agents like security principals?
Recent security testing involving AI models has raised an interesting question: we're no longer only worried about models generating insecure code—the models themselves can potentially perform complex actions when connected to tools and systems. Meta recently acknowledged that one of its AI models hacked another company during controlled cybersecurity testing. That makes me wonder whether traditional application security assumptions are enough for agentic systems. If an AI agent has access t...
🌍 Dev.to
Postgres LISTEN/NOTIFY in Production: Safe Reconnects & SSE
If your app needs to push live updates to connected clients — a job progress bar, a balance that changes when a background worker finishes, a "this record was deleted elsewhere" toast — the reflex is to reach for Redis Pub/Sub or a message broker. But if you already run PostgreSQL, it ships with a pub/sub primitive built in: LISTEN / NOTIFY . No extra infrastructure, no extra failure domain.
What is Postgres LISTEN/NOTIFY? It's a built-in pub/sub mechanism: one session runs pg_notify(ch...
🌍 Dev.to
I Asked Claude Code to Find Me a Trading Edge. It Killed Three Strategies First.
How I built a fully automated, rule-based Japanese stock research pipeline with Claude Code, J-Quants, and a macOS cron job — and why "the AI is not allowed to predict anything" turned out to be the most useful constraint in the whole project.
Everyone's first idea for "AI + stocks" is the same: ask the model whether a stock will go up. That idea has been tested, and it fails — LLMs guessing post-event price direction land around coin-flip accuracy. I'm a freelance web developer in Japan,...
🌍 Dev.to
The Python GIL, explained without the hand-waving
Every Python developer eventually hits this conversation:
"Just use threads to speed it up."
"Python threads don't run in parallel. The GIL."
"So threads are useless in Python?"
"No, they're great for—"
"You just said they don't run in parallel!"
Both people are half right. Here's the actual model, and the decision rules that follow from it.
What the GIL actually is
The Global Interpreter Lock is a mutex inside CPython that allows only one thread to execute Python ...
🌍 Dev.to
Choosing colors (for developers)
The eleven-shade color scale from Tailwind CSS is one of those ideas I keep stealing. You know the one: 50 through 950 gives you enough stops for backgrounds, borders, hover states, text, everything. I use it even when I’m not using Tailwind.
But I almost never use the defaults (your site/app ends up looking like every other site built by LLMs).
The fix is not complicated. You don’t need a color theory degree or a five-color palette generator (you know the ones 🥹). You only need two or...
🌍 Dev.to
Correggere gli errori Lighthouse con un agente AI direttamente in Chrome DevTools
Dalla lista di audit falliti alle patch applicate: un flusso più rapido per sistemare problemi “di superficie” e prepararsi anche al web agentico.
Negli ultimi anni Lighthouse è diventato uno standard di fatto per controllare qualità, performance, accessibilità e aspetti SEO di base. Il collo di bottiglia, però, è spesso il flusso operativo: esegui l’audit, prendi nota degli errori, li riporti nel tuo editor o nelle issue, poi inizi a fare avanti‑indietro tra report e codice.
Ora il punt...
🌍 Dev.to
You copy and reverse the array to find the last match. `findLast()` searches from the end directly.
Here is a pattern that shows up in almost every codebase:
const lastActive = [... users ]. reverse (). find ( u => u . status === ' active ' );
It works. But it creates a full copy of the array, reverses that copy in place, and then walks it from the start. All to get one element near the end. The bigger the array, the more wasteful this is — and the less obvious the intent becomes to the next reader.
ES2023 added findLast() to handle this di...
🌍 Dev.to
Rendere “permanente” un hover con una sola riga di CSS (senza JavaScript)
Un trucco con transition-duration e calc() per far sì che lo stato ritorni… in “infinito” tempo.
In UI e microinterazioni capita spesso di voler ottenere un effetto “sticky”: passi sopra un elemento, lui cambia stile… e quando te ne vai rimane così. Magari per segnalare l’ultimo elemento esplorato, per evidenziare una scelta o per lasciare una traccia visiva senza introdurre logica JavaScript.
In CSS c’è un trucco molto pulito per farlo: far durare la transizione di ritorno un tempo “in...
🌍 Dev.to
# I Built a Linux System-Intelligence Tool Using Bash, C and C#
I wanted to build something that would force me to work with Linux at a level deeper than simply running commands in a terminal.
That became LinuxGuard .
LinuxGuard is a small cross-language Linux system-intelligence project built using Bash, C, and C#/.NET .
The interesting part isn't just the languages themselves.
It's how they work together.
The idea
The basic workflow is:
LinuxGuard
│
▼
...
🌍 Dev.to
AI Voice Agents Need Improvement in Handling Natural Human Interruptions During Conversations
The Interruption Challenge: Uncovering the Gap in AI Voice Agent Performance
While AI voice agents have demonstrated impressive capabilities in controlled demonstrations, their effectiveness in real-world customer interactions hinges on a critical, often overlooked factor: handling natural human interruptions. This analysis dissects the technical underpinnings of AI voice agent interruption handling, revealing the gap between demo performance and real-world challenges and highlighting the co...
🌍 Dev.to
Serverless Bill Shock: Tracking Edge Function and Database Expirations (Vercel, Supabase, Netlify, Neon)
Article image
Serverless Bill Shock: Tracking Edge Function and Database Expirations (Vercel, Supabase, Netlify, Neon)
For over two decades, agency hosting economics were beautifully predictable. You bought a reseller web server or dedicated cPanel account for $50 a month, crammed 30 client WordPress sites onto it, and charged each client a flat $25 monthly maintenance fee. Your margins were clear, your server bills were static, and billing surprises were virtually non-existent.
Then came t...
🌍 Dev.to
Translating Culinary Comfort into Pure CSS Art
This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art .
Inspiration
Ramen is the ultimate universal comfort food: rich, layered, and crafted with meticulous attention to detail. This project set out to translate that directly into front-end architecture. Inspired by the cozy ambience of traditional Japanese ramen counters, Midnight Ramen Bar channels complex CSS gradient math, 3D transform matrices, and keyframe turbulence into a living work of digital art...
🌍 Dev.to
The rounding bug that almost shipped in a payroll calculator
I've been building PayTimeHub , a set of free payroll and pay calculators - paycheck withholding, raise calculator, hours-to-decimal, time and a half. Money math looks trivial until you actually ship it, and one bug almost got through that's worth writing up.
The setup
Every calculator on the site takes a dollar amount, does some arithmetic on it, and shows the result back to the user. A raise calculator multiplies a salary by a percentage. An overtime calculator multiplies an h...

🌍 FreeCodeCamp
How to Build Production-Grade Agents with Pydantic AI
Building AI agents with raw LLM SDKs works fine for prototypes until you need structured outputs, testable code, and production reliability. The gap shows up in a predictable way. Your notebook code w

🌍 FreeCodeCamp
How to Modernize a Legacy Application with AI Without Turning It Into a Rewrite
I have seen legacy migrations considered successful because the old framework disappeared from the repository. Six months later, the team was still dealing with the same coupling, the same unclear bus