Self-propelled Panther railcars get $100 million boost for commercial rollout
Parallel Systems has raised $100 million in a new funding round to scale production of...
1,044 stories
Parallel Systems has raised $100 million in a new funding round to scale production of...
Discover how HeyDevJob helps aspiring engineers gain real-world experience and build portfolios with hands-on projects.
Termphin is now open source under the GPL. Why an SSH client should be, why that license, what it does not cover, and what it costs.
The friction isn't the editor I switched between Cursor, Cline, and Claude Code in the same week recently. The learning curve on each tool was fine. What actually ate my time was re-explaining the project to each one. Same repo layout. Same test command.
We run a two-AI workflow: one AI manages and verifies, the other builds. They coordinate through a shared Google Sheet that acts as a message mailbox. It sounds simple. It was not simple. Here's what broke and what we learned.
Building a robust airdrop monitor is no longer just about scraping Twitter or Discord; it requires semantic understanding to filter out noise from genuine, high-value opportunities. Traditional keyword-based bots often trigger on false positives, such as "airdrop" used in a meme context.
Why token prices are only a small part of the cost of running AI in production When an AI feature becomes expensive, the model is an obvious place to look. But as software engineers, we should ask a more uncomfortable question first: how much of the work are we asking the model to do unnecessarily?
I run ModernWebSEO, a small web design and SEO studio in Istanbul. Our own site is in four languages: Turkish (the main market, at the root), English (/en), Spanish (/es) and Arabic (/ar, right to left). The sitemap holds 700 URLs.
I'm a computer engineering student in Manaus, Brazil, and for my research project I've been building ANCHOR, a web automation agent: you describe a task in plain language ("Register Maria Silva, IT department, contractor, accept the terms and save"), and it runs the task in the browser.
What I Built I built AI Nature Explorer, a web application designed to encourage people to explore nature instead of spending all their time on screens. Users can upload a nature photo and use AI to identify what appears in the image.
Learn how background agents run on schedules and triggers, keep working when your laptop sleeps, and handle recurring business operations safely.
MIT engineers have developed a flexible, shape-sensing sheet that digitally reconstructs its own form as it bends and twists. The sensor is similar in principle to some motion-capture garments, which track a person's physical movements to mimic them in a virtual avatar.
It's 9:15 a.m. The wind is roaring at 110 miles per hour (177 kph); the sound is deafening. Dust swirls through the air. We are watching a single-wide manufactured home rock back and forth as it is pounded by turbulent wind.
New work from engineers at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, shows a technology normally used to spray protective coatings onto industrial parts could help address a costly problem in hypersonics: deciding which materials deserve time in the nation's scarce…
Humans can move their limbs very rapidly and coordinate their movements with high precision to tackle specific manual tasks. While robots have become increasingly advanced in recent years, many of them remain less agile than humans and struggle to interact with moving objects of different shapes,…
I recently completed the AI-Assisted Data Science with BigQuery lab via Google Cloud. While analyzing the final multimodal vector search stage, I focused heavily on how the pipeline enforces state dependencies.
AI agents are moving beyond generating code. They can now execute commands, modify files, browse the web, and coordinate with other agents. But here's the question: How much autonomy should we give an AI agent before the security risks outweigh the productivity gains?
"See a feature you like. Understand how it works, down to the binary level." That is the pitch of REA, and it is the one job your coding agent could not do until now.
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