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299 articles
Blogs
GitHub is rebuilding its Git infrastructure as AI coding agents drive billions of commits, promising up to 35x faster writes while exposing new DevOps bottlenecks.
Showing 1–24 of 299
AI
A global survey of 705 developers and IT leaders finds 42% of respondents reporting that artificial intelligence (AI) now writes at least half their code, with only 21% of develope…
Blogs
Git 2.56 improves merge safety, speeds up large-repository operations and adds cleanup tools that could prove especially useful for AI coding agents and busy DevOps teams.
Blogs
The debate isn’t new — but the stakes are. In 2026, the gap between companies that get this decision right and those that don’t is measured in product cycles, burn rate, and compet…
Blogs
Anthropic’s redesigned Claude Projects coordinates parallel Claude Code sessions, delegates work across branches and brings the results back through familiar pull-request review wo…
Blogs
Enterprise coding agent startup Factory announced it has raised $200 million at a $5 billion valuation, more than tripling its valuation from its last funding round five months ago…
Blogs
Every software team eventually runs into the same question: How much testing is enough? For years, the default answer has been “more.” More automated tests. More regression suites.…
Blogs
Fortunately, companies do not always have to choose between in-house vs outsourcing. Instead they can adopt a hybrid development strategy, which combines the capacities of internal…
Blogs
JetBrains IDEs are where a lot of enterprise backend work happens — Java, Kotlin, Spring, big monorepos with a lot to break. So when an AI coding agent starts running shell command…
Blogs
Most Rust developers don’t use a debugger. That’s the headline finding from the Rust compiler team’s first dedicated debugging survey, and it’s worth sitting with for a second. Rus…
Blogs
GitHub’s Project HydraFusion brings multi-model orchestration to Copilot, automatically routing coding tasks across AI models to balance quality, cost and complexity.
Blogs
GitHub Copilot can now submit binding pull request approvals, moving AI code review from advisory feedback into the merge decision itself.
AI
Debian’s new AI contribution policy avoids bans and mandatory disclosure, instead making developers responsible for reviewing AI-generated work and protecting sensitive data.
AI
The term “tokenmaxxing” left the developer lexicon just as quickly as it arrived, and like most viral technology concepts, it means different things depending on who’s using it. In…
Blogs
GitHub Actions pipelines have become one of the quieter attack surfaces in software development. They pull in third-party actions, cache dependencies, and pass secrets between jobs…
Blogs
Anthropic’s temporary 50% increase to Claude Code weekly usage limits expires August 19, reducing available capacity for developers and DevOps teams without lowering subscription p…
Blogs
Adronite launches Codistry, an AI coding tool that uses a context engine to map codebases, reduce token usage and generate more production-ready code.
Blogs
An SCW study finds a large variance in how frontier and budget LLMs perform across different frameworks, and explains the striking cost variance.
Blogs
Anthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky…
Blogs
Both SMBs and large enterprises often choose software development outsourcing over developing software in-house. It is no surprise, as partnering with external developers enables c…
AI
JetBrains open-sources KotlinLLM, letting compiled Kotlin apps generate and persist LLM-written code at runtime instead of calling a model live.
AI
The question is no longer whether Anaconda wants to be more than the Python company. It is how much of the AI development stack DeSanto ultimately intends to own.
Best Practices
With AI, teams across organizations are now building internal applications faster than ever, often pulling in open source libraries and frameworks without much thought about long-t…
Blogs
I’ve lived through five major technology shifts: mainframe to Windows in the early ‘90s, internet computing in the late ‘90s and early 2000s, Agile in the mid-2000s, cloud through…
