AI Coding - Page 13

I started using AI to write code in 2024. Two years later, my day-to-day development work looks very different. I hand tasks to agents: Codex handles refactors, Claude Code fixes bugs, and several projects often run in parallel. The tools themselves are strong enough that I initially assumed the bottleneck would be model quality. It […]

Databricks tested AI coding agents on real pull requests. We analyze cost per successful task, harness context overhead, benchmark limits, and routing.

SemiAnalysis has not exactly been enjoying a spotless reputation lately, but this Anthropic breakdown is still worth reading. The reason is simple: Anthropic’s full financials are not public. We only get fragments from outside reporting. Barron’s has reported that Anthropic confidentially filed IPO paperwork, and AP has covered Anthropic’s latest funding and annualized revenue claims. […]

A 2026 white paper on Loop Engineering: how to turn AI coding agents into bounded, testable systems with feedback, durable state, evaluation, governance, and human control.

I’m Evan. I would not normally write a whole page about capitalization, package names, and company names. But this is one of those boring naming problems that quietly breaks developer workflows. A developer searches Graphify, sees graphifyy on PyPI, then runs into GraphifyLabs or Graphify Labs on GitHub and the company site. At that point, […]