Why Every Engineering Team Needs an AI-First Development Workflow in 2026
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →Rust has been “the future of systems programming” for several years now. The question engineering teams actually care about is more pragmatic: should we use Rust for our application, and what do we give up if we do?
Performance-critical services where you need predictable latency without a garbage collector. CLI tools that need to be fast and distributable as a single binary. WebAssembly targets where binary size and performance matter. Anything touching memory safety where a bug could be a security vulnerability. These are the clear wins.
Crud applications. Internal tooling with no performance requirements. Code that changes frequently and needs to be written quickly. The borrow checker — Rust’s mechanism for memory safety without garbage collection — is genuinely hard to learn and genuinely slows down initial development, especially for engineers coming from garbage-collected languages. That investment pays off over time, but not all applications have the time horizon to justify it.
The teams getting the most value from Rust in 2026 are writing specific hot paths, parsers, or performance-sensitive components in Rust while keeping the surrounding application in Go, Python, or TypeScript. This hybrid approach gets you Rust’s benefits where they matter most without betting your entire codebase on it.
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →We surveyed 400 engineering teams who made the switch either direction. The results challenge most of what you've read on…
Read →Dotfiles, aliases, and a few overlooked tools that compound into serious productivity gains over time.
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