Overnight: Turn Linear Issues Into Pull Requests
Terminal agents got surprisingly good this year. Anthropic's Claude Code launched in February, OpenAI's Codex CLI got much better in August with gpt-5(thinking-high) and again in September with gpt...

Source: DEV Community
Terminal agents got surprisingly good this year. Anthropic's Claude Code launched in February, OpenAI's Codex CLI got much better in August with gpt-5(thinking-high) and again in September with gpt-5-codex(high). We've been delegating bug fixes, UI features, backend updates, comprehensive testing, and even larger architectural changes to these agents at Emotion Machine. It works. The shift from vibe coding to what Simon Willison calls vibe engineering means we can finally incorporate actual software engineering practices into terminal agent workflows, detailed planning specs, context from all stakeholders (not just developers), proper testing in deployment pipelines, while being more ambitious by running 10-20 agent sessions per person per day. But to make this work at scale, you need agents to pull from the same context pool where product discussions, design decisions, and technical specs already live. You need tighter integration between how teams plan and how agents execute. That's