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Checkout is the point where agent-ready commerce stops being mostly read-only. Discovery can be a projection. Comparison can be a query. Policy quotation can be a controlled answer backed by source evidence. Checkout is different. Checkout mutates commercial state. A cart changes. A price may be selected or locked. Inventory may be revalidated or reserved. Shipping options may be calculated. Policy coverage may become a precondition. A checkout snapshot may be created. Payment authority ma...

A week ago I wrapped up an incredible, high-intensity experience at the Kisumu Lightning Developer Bootcamp, hosted right here at Zone01 Kisumu! The bootcamp was a deep dive into the future of digital payments, focusing on the technical architectures of Bitcoin Core and the Lightning Network protocol. We spent days exploring how layer-2 scaling solutions can drive financial inclusion, enable microtransactions, and completely reshape global remittances with near-instant, low-cost settled payme...

ARK Trust: The Missing Reliability Layer for AI Agents Your AI agent says it sent an email. Did it really? Your AI agent says it charged $10. Did it charge $10… or $100? AI agents are powerful. They can call APIs, send emails, process payments, and orchestrate complex workflows. But they have a dark secret: they are deeply unreliable in production. After analyzing 8,847+ error issues across LangChain, CrewAI, and AutoGen, I found that most production failures fall into a fe...

Originally published at Perl Weekly 779 Hi there! In the 15 years since the Perl Weekly was first published we included posts from more than 800 authors. For 114 of them we have their LinkedIn profile, for 264 we have their PAUSE id, and for 200 we have a picture. I would love to get your help finding more. You can see the full list of authors . The source is in the src/authors.json file in our repository . Please help us locate more information about our authors. Send a PR or send m...

In my past two backend projects, I use to pass info about user manually. I thought this is the right method. Every time some function need info, I pass it as parameter. Simple. Direct. Clean enough. Then I started building a cloth rent booking app. In start everything was fine. I had orderId coming in with the request. I pass it to my booking service. Service pass it to availability checker. I thought — this is clean approach. I feel good about the code. Then the app start getting mo...

Every week I take one buyer category, ask ChatGPT, Claude, Gemini and Perplexity the five questions a real buyer would type, and count who gets named and who gets recommended first. Same questions for every company, so it is a fair board and not a vibe. This week: databases and storage. I expected the incumbent reflex. I got the opposite, then a twist. The serverless newcomers already won To the models, the challengers are already the answer: Neon (serverless Postgres)...

Some time ago, I reviewed an AI agent implementation and found an API key in the system prompt. The developer didn't realize it, but the LLM did. LLMs cannot natively separate instructions from data. Whatever lands in the active context window is processed with equal access: system prompts, tool definitions, user messages, retrieved documents. The model sees all of it as tokens. It cannot tag some tokens as "sensitive" and others as "public". That's not how it works. There's a direct conse...

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Kivo provides a clean, always-on-top reading overlay for scripts, AI-generated content, presentations, and video recordings. Features Frameless, always-on-top overlay Modern rounded UI with a translucent background Draggable window Open any text (.txt) file Automatically reloads when the file changes Smooth teleprompter-style auto-scrolling Adjustable scrolling speed Pause and resume scrolling Lightweight and distraction-free Comments

Most rate-limiter tutorials show you a tidy little token bucket that works perfectly — on one machine. Then you deploy to production, where you're running three copies of your app behind a load balancer, and the limiter quietly stops doing its job. Nobody gets an error. Nothing crashes. Your "100 requests per minute" just silently becomes 300, and you don't find out until something downstream falls over. This post is about why that happens, a small demo you can run to see it, and the one ch...

“What Did You Ask AI Recently?” I couldn’t answer that question. I ask it multiple times a day. Yet I couldn’t recall a single thing I asked today. I couldn’t remember what’s in my personal knowledge repository or why my current directory structure exists, or even how I manage it. The final blow was realizing that the reason I adopted that structure was simply because I had “offloaded research on AI-friendly directory structures entirely to AI”—I had no memory of why it was good or why I ...

Most teams claim they do blameless postmortems. Then the incident happens. "Jane didn't validate the input." "The on-call missed the alert." "We should have caught this in code review." That's blame. It's just dressed up in process language. The Gap Blameless postmortems aren't about ignoring human error. They're about understanding why a reasonable person made a decision that, in hindsight, was wrong. The question isn't: "What did Jane do wrong?" It's: "What...

Let me tell you the most tedious part of job hunting that nobody talks about: the morning ritual. Open LinkedIn. Scroll. Open Indeed. Scroll. Open a niche remote board. Scroll. Repeat across six tabs, half of which want you to create an account just to see a salary range. By the time you've finished your coffee, you've spent 45 minutes and found three jobs — two of which you saw yesterday, and one that doesn't show the salary at all. Here's a better way. First: where the ...

I log commutes in a spreadsheet because mobility apps smooth over the ugly legs. Last week I added a column I should have tracked years ago: carry seconds ? time from curb to platform when stairs replace ramps. The hidden leg My one-wheel leg is fine on paper. Three metro exits on my route have no elevator during maintenance. Carrying a 14 kg wheel down 22 stairs does not show up in trip duration. It shows up in whether I arrive annoyed enough to skip coffee. What I...

What building cross-service RBAC taught me about the difference between a fast check and a correct one VaultPay is a wallet microservice I built on top of AuthShield. Previous parts: Part 1 is here: I Built AuthShield and Immediately Knew It Wasn't Enough Part 2 is here: The Silent Failure I Never Saw Coming: What VaultPay Taught Me About Consistency Under Failure Part 3 is here: I Started With a Blocklist. That Was the Wrong Instinct and VaultPay Taught Me Why. Part 4 is her...

I use my SSH manager every day. I also use a separate monitoring tool every day. For a long time I just accepted that these were two different things. Then one day I was SSH'd into a server that was behaving weird. I wanted to check if it was CPU or memory, but I had to open a different app, find the server in there, and wait for the dashboard to load. It took maybe 15 seconds. Not a huge deal. But it broke my flow every single time. I already had an SSH connection open to that server. Why...

Your docs pipeline, from the terminal PaperQuire v0.2.0 ships with a full command-line interface. Everything you can do in the desktop app — render, template, brand — now works from your terminal. This means you can automate document generation, integrate PaperQuire into CI/CD pipelines, and batch-process entire directories of Markdown without opening the GUI. Quick start If you installed via Homebrew, the paperquire command is already on your PATH: brew install...

Key takeaways Summarizing conversation history can reduce costs by up to 60%. Implementing an effective summarization algorithm is key to efficiency. Balancing detail and brevity in summaries is crucial for context. Optimized context windows lead to faster response times and lower latency. The problem Startups leveraging large language models (LLMs) often face significant costs associated with managing context windows during conversations. Each token processed incur...

I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about. So here is my honest take on where things actually are. The Problem With How We Talk About AI Agents Everyone is calling everything an "agent" right now. A function that calls a tool? Agent. A chatbot with memory? Agent. ...

The access you revoked in your last review is probably still live. I know how that sounds, but it is how most access recertification actually works. A tool generates a list, an owner clicks approve or revoke, the cycle gets marked complete, and then nothing touches the real resources. The review produces a record. The permissions stay exactly where they were. You attested to a state that was never made true. That gap bothered me for a long time, so I built something to close it and open-so...

Windows Persistence Techniques (MITRE ATT&CK Mapped) – Complete Red Team Course Windows persistence is one of the most important topics for red teamers, malware analysts, DFIR professionals, and cybersecurity students. Understanding persistence techniques helps both attackers simulate real-world threats and defenders detect and respond to them. This article accompanies my full YouTube course, which covers Windows internals, persistence mechanisms, privilege escalation, post-exploitati...

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How are you, hacker? 🪐 What’s happening in tech today, June 28, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Mike Tyson Bit Evander Hollyfield in 1997, Elon Musk Was Born in 1971, The Saxophone Was Patented in 1846, and we present you with these top quality stories. ...

TL;DR: SwiftUI’s `@State` is now exposed as a macro, but everyday usage stays almost the same. The biggest practical change is lazy initialization: class instances stored in `@State`, such as `@Observable` view models, are created once for the lifetime of the view’s state storage instead of being re-created whenever the view struct is rebuilt.

The article argues that prompt engineering is only the starting point for production AI. Reliable LLM products depend on deterministic output contracts, schema validation, observability, cost controls, and workflow design that constrain probabilistic models and make failures visible rather than hidden.

Drawing on the experience of producing an AI-generated animated series, the author argues that AI reduces the cost of content generation but not the burden of creative decision-making. The real challenge for solo filmmakers is managing the production systems, continuity, and judgment that a traditional film crew once distributed across many specialists.