Zig is a general-purpose language that aims to be as performant as C but with "fewer footguns," in Kelley's words. It is a niche language, at 82 on the latest RedMonk Programming Language Rankings, but well-liked by its users; last year's Stack Overflow survey has Zig as the fourth most admired language, defined as Zig developers who want to continue using the language.
For two decades, software-as-a-service (SaaS) grew by digitizing workflows. Customer relationship management systems recorded sales activity. Field-service platforms scheduled jobs, retrieved customer histories, and fed upsell opportunities back into sales teams.
I always worry about the big boys and girls in the world. So, OpenAIs, Anthropics, Googles, Apples, more so than our competitors that spring up from the bottom or from sideways. This is because the distribution power of these tech giants and frontier labs in the market is unparalleled.
AI coding tools have caused as many problems as they have solved, according to industry experts. The easy-to-use and accessible nature of AI coding tools has enabled a flood of bad code that threatens to overwhelm projects. Building new features is easier than ever, but maintaining them is just as hard and threatens to further fragment software ecosystems. The result is a more complicated story than simple software abundance.
The company is partnering with Replit, Lovabl, Descript and Relay.app on the feature and is working on integrations with fellow Microsoft-owned GitHub as well as Zapier. LinkedIn has always allowed users to add various skills and certifications to their profiles. But what makes the latest update a bit different is that users aren't self-reporting their own qualifications. Instead, LinkedIn is allowing the companies behind the AI tools to assess an individual's relative skill and assign a level of proficiency that goes directly to their profile.
"This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over," Dahl wrote. "Disturbing for those of us who identify as SWEs, but no less true. That's not to say SWEs don't have work to do, but writing syntax directly is not it."
Most AI coding tools work by sending your code somewhere else. When you use Cursor, your code snippets travel to Cursor's backend (hosted on AWS) before being forwarded to model providers like OpenAI and Anthropic. Claude Code sends files and prompts directly to Anthropic's servers. This architecture works fine for most teams, but for healthcare companies handling PHI, financial institutions under SOC 2, or government contractors with classified codebases, any external data transmission can violate compliance requirements, regardless of encryption or zero-retention agreements.
In a Reddit thread discussing the UZDoom fork, Muhandes detailed how " UZDoom gets rid of the 'one man decides everything' / 'my way or the highway' development model. Everyone has to make pull requests that must be peer-reviewed thoroughly, and everything will be transparent-no one is allowed to commit directly to the master branch." "I have never seen something I've worked so hard on, for the past 2+ decades-a life passion of mine, you could say-implode this hard," Muhandes added on Bluesky.
Software stocks, including Salesforce and HubSpot, have slumped this year on concern that AI tools could make it easier for companies and developers to build their own software, rather than buying SaaS services. This "buy versus build" debate has been a hot topic on Wall Street in recent months, with one study warning that over 100 public software companies risk getting squeezed between nimble AI startups and powerful AI-ready tech giants.
"Obviously, you don't want to spend too much on this solution, and it can be expensive because the model itself is pretty expensive, but at the same, you don't want to make that number too small, because like in some in a lot of ways, I think every dollar into this system, you know, is like more than one dollar out."
We observe noticeable growth spikes in AI-generated code soon after key generative AI releases such as GitHub Copilot, the original ChatGPT, and GPT-4.0, highlighting how breakthroughs in LLMs prompt rapid uptake by developers worldwide.
