Latest articles on AI, technology, and software development.
Cloudflare and Fastly independently arrived at the same architecture: Wasm instead of containers at the edge. Here's the technical reason why, and what it means for how you should ship code in 2026.
Startup latency, memory safety, and single-binary distribution are pulling CLI tool development away from Go and Python toward Rust in 2026.
With over 60% of newly committed code now AI-assisted, the constraint on shipping software has moved from typing speed to review capacity — and a new category of AI review tools is emerging to close the gap.
Models like Qwen3-Coder, Gemma 3, and Phi-4 now run on a single laptop or workstation GPU and handle routine coding work well enough that many developers default to local-first, reserving cloud APIs for the hardest problems.
AI code review has crossed from novelty to default practice at most engineering shops, but tool-level false positive rates of 5-15% mean teams are trading review speed for a new kind of review debt.
A new comparison of Claude Code and OpenCode found one harness sends 4.7x more tokens than the other before processing a single instruction — and the gap compounds badly once you add subagents.
Vibe coding breaks down once AI agents touch multi-file changes. Here's why engineering teams are shifting to structured specs first, and what tools like GitHub Spec Kit, AWS Kiro, and OpenSpec actually do differently.
At scale, architecture decisions — not billing adjustments — drive 60–80% of cloud costs. Here are the patterns engineering teams are using in 2025–2026 to cut cloud bills by 60% without sacrificing reliability.
84% of developers now use AI coding tools, but the question is no longer which tool to pick. It's understanding what each tool is actually good at — and why most heavy users run two of them in parallel.
DevOps spread infrastructure work across every developer team; platform engineering concentrates it in one team that builds self-service tools for everyone else. The organizational shift is real, the tooling has matured, and the results are measurable.
OpenTelemetry is now the de facto standard for distributed tracing, metrics, and logs across every major cloud and vendor. The decade-long vendor lock-in problem in observability is over. Here is the practical guide to instrumentation, collector architecture, sampling strategies, and choosing your backend in 2026.
Git turns 20 in 2025, and the tooling around it has matured into a rich ecosystem — from Git 3.x bundle transports and worktrees to stacking workflows with Graphite, and GUI clients that finally make rebase approachable.