Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.
Cerebras’s hosted Qwen3 Coder service promised to be the Claude replacement many developers craved. We’re losing hope.
Anthropic has pulled the plug on all-you-can-eat LLM code generation. Where will developers turn next?
Quality shifted left. Security shifted left. Data is next. When data contracts join the CI gate, teams finally ship faster and sleep better.
Large language models fail at hard and medium difficulty problems where they can’t stitch together well-known templates. You should still use them.
o3 used to be too slow and too expensive for daily coding—no longer. The latency is now bearable, the price is sane, and the chain-of-thought pays off.
ChatGPT, GitHub Copilot, Cursor, Windsurf, RooCode, and Claude Code all have their strengths, but no single assistant ticks all the boxes.
The latest GPT, Claude, Gemini, and o-series models have different strengths and weaknesses, so it pays to mix and match. Here’s a field report.