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409 articles found
The Setup I was building a budget AI video pipeline — TTS, talking head lipsync, b-roll generation, SFX. Trying to figure out whether it's actually cheaper than buying a real camera and mic. The AI I was talking to was great. Enthusiastic. Knowledgeable. Every answer started with "YES!", "100%", "Yo
In 2024, the Oxford Internet Institute studied misinformation spread across 81 countries. Their finding: the most dangerous misinformation wasn't in English. It was in languages that English-language fact-checking tools couldn't read. WhatsApp forwards in Hindi. Facebook posts in Swahili. Telegram c
There is a special kind of productivity theater that happens during a developer job search. You wake up motivated, open LinkedIn, and apply to 27 positions before breakfast. You press the Easy Apply button with the precision of a professional gamer. By the end of the week, you have submitted 143 app
Most AI productivity advice stays abstract. "Use AI to write better code." Great. How? Here are 8 specific, copy-paste-ready patterns I actually used this past week — each one self-contained, each one with a real return on time. Before any technical sync, I paste the relevant PR diff or ticket descr
It’s been a couple of years since the AI hype really took off and if you’re a professional software engineer like me, you’ve probably already found places where it genuinely improves your workflow. At the same time, you’ve also likely realized that despite all the noise online about AI replacing eng
When you buy a SaaS tool, your data sits in someone else's database. When you buy an AI service, your data flows through someone else's model. It has the posibiliy to become training data. Your data might get embedded in weights you can never inspect. It might surface — partially reconstructed — in
Originally published on AIdeazz — cross-posted here with canonical link. I spent $12,000 on Oracle Cloud infrastructure last quarter to power VibeJobHunter, my AI hiring automation platform. 45% of that cost went to training and deploying multi-agent systems that can parse job listings and match can
I’ve been building web scrapers for years. BeautifulSoup, Selenium, Playwright — I thought I’d seen it all. But last month I hit a wall so stubborn that I almost gave up on the entire project. Here’s the story of how traditional scraping failed me, and why I now treat AI as a legitimate tool in my d
AI had its moment, but efficiency gains are being passed on less and less.
Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lrc to help devs discover the project. Do give it a try and share your feedback for improving the project. What I actually want is an ncdu-style file br
I built a small web scraping framework in Rust, mostly with an AI doing the typing. It's called ferrous — a Colly-style collector: register CSS selector callbacks, queue URLs, write JSONL. About 700 lines. The pitch I kept hearing, and half-believed, was that Rust and LLMs are a good match now: the
In This Article The Deal Intelligence Gap Data Model Design Transcript Analysis with Claude Automated Follow-Up Drafting PostgreSQL JSONB Storage Putting It Together Most CRM systems are excellent at storing what happened — call logged, email sent, stage updated — and poor at capturing what was lear
The incident started with a boring support automation task. Take a user request, search a private document index, summarize the answer, and hand the result to a reviewer. Nothing heroic. The kind of Python agent you build when the demo is over and the real workflow begins. Then one run got stuck in
No Generative AI was used in writing this article. If you enjoyed reading it, please let me know. It helps me dedicate more time to things that resonate with my readers. It took Uber 4 months to burn the entire AI budget for 2026. The cost if AI, the ROI and the question of AI investment have entere
Turns out, the best notes app isn't a notes app at all
I asked Alexa+ whether I should “burp” my house. Its surprisingly nuanced advice changed how I think about ventilation, air quality and when to open my windows.
Is AI-Native .NET Development Actually Happening in 2026? Honestly, I'd been dipping my toes into AI for coding for a while, mostly with basic Copilot completions, but it felt more like a novelty. Then, last Tuesday, my teammate Mark mentioned how he'd been using Copilot Edits in Visual Studio 2026
I use AI for hours every day, so when it started appearing in my dreams, I began keeping a dream journal to see what was really going on.
"Why did the Agent do that?" If you are building Agentic systems today, this is the question that keeps you up at night. AI Agents are inherently non-deterministic. They loop, they reason, and they call multiple tools in sequences that are hard to predict. When a multi-step task fails, a traditional
Making AI-Generated Code Fail Gracefully If your app generates code with an LLM and executes it, you already know the dirty secret: it fails a lot. Not catastrophically — just wrong method names, bad assumptions about state, off-by-one stuff. The kind of errors a human would fix in 10 seconds. The q