Preserving Fisher-Price Pixter
Score: 73 | Comments: 6
Latest technology news aggregated from top sources. Updated daily.
Score: 73 | Comments: 6
Score: 307 | Comments: 116
Score: 70 | Comments: 20
Score: 232 | Comments: 109
Score: 49 | Comments: 17
A while ago, I caught myself wondering: "Am I too late?" Not because I started coding late. But because every week there seems to be a new AI demo building apps, writing features, fixing bugs, and
Let me tell you the story of three weeks of my life I will never get back. We were building an AI agent on AMAZON Bedrock — an autonomous system that manages infrastructure lifecycle operations. The
All tests run on an 8-year-old MacBook Air. All results from shipping 7 Mac apps as a solo developer. No sponsored opinion. Intel Mac users still exist. Apple Silicon is the future. A universal binar
Shift-left doesn't start with scanning the code for security vulnerabilities; it begins with designing for security. Too often, the shift-left mantra consists of implementing (AI-powered) code scanni
Score: 551 | Comments: 272
Not long ago, when the certificate for the hesapciyiz.com site I host on my own VPS expired, I woke up to an email in the middle of the night. Yes, Let's Encrypt's certificate had expired, and I had f
2 a.m. The customer Slack channel explodes — the support bot just asked for the same order number three times in a row. A frustrated user screams, “Do you have amnesia?” After digging through the code
Score: 131 | Comments: 48
This is part of my HNG DevOps internship series. In Stage 1 I deployed a personal API behind Nginx on a live server. Stage 2 is where things got serious. The Task We were handed a broke
OG Image Sizes: The Complete Guide for 2026 Here is the quick answer: 1200 x 630 pixels. If you remember nothing else from this article, remember that number. It works on every major platfo
Most developers I know treat SEO as an afterthought — something you bolt on after the site is live, usually because a client asked why they're not ranking. But in 2024, the gap between teams that auto
I audited 50 Lovable / v0 / Bolt / Cursor / Claude Code apps over the last few months. Some were friends' side projects, some were YC-backed startups, some were 24-hour hackathon submissions that made
Some systems look scalable right up until they meet real production traffic. The tests pass. Dashboards are green. The architecture diagram looks clean. The team feels good about it. Then traffic gr
been testing this properly for a few months because i kept seeing wildly different claims and couldn’t find real data anywhere. specifically for inference workloads, 70B class models, and i care about
Score: 16 | Comments: 11