Claude Code Plan Mode: Features, Benefits, and How to Use It
What plan mode in Claude Code does, how to activate it, the research-plan-implement pattern, and why planning before edits saves usage and rework.
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What plan mode in Claude Code does, how to activate it, the research-plan-implement pattern, and why planning before edits saves usage and rework.
How Claude Code subagents work: the context problem they solve, built-in Explore and Plan agents, writing your own, and a decision framework for delegating.
Ox Alpha is an anonymous frontier-class AI model on OpenRouter and OpenCode: 1M-token context, video input, free for roughly a week. The specs, early tests, identity theories, and how to try it safely.
Lovable suits prompt-led product building; Replit suits broader coding with infrastructure access. A worked prototype test shows where each breaks first.
Windsurf suits agent-led coding with coordinated edits; Cursor suits precise chat-driven editing with manual control close by. Choose by workflow, not brand.
A useful Claude Code course ends in verified repository evidence, not prompt lists: what to learn, a capstone with acceptance rubric, and honest certificate expectations.
Two terminal AI coding agents for different budgets: Gemini CLI’s free open-source quota versus Claude Code’s paid multi-file depth — differences, pricing, and a pick framework.
Vibe coding is building software by describing it: the AI generates code, you review and refine through prompts. What the workflow shift really involves, including its risks.
Polymarket reports Grok 4.5 has overtaken GPT-5.6 Sol and Fable 5 in OpenRouter token volume, cracking the top 10 closed models. The milestone measures usage, not quality — but it lines up with a genuinely aggressive value proposition: $2/$6 per 1M tokens, roughly 2x token efficiency, 80 TPS, a SWE Marathon lead, and Cursor-co-trained coding performance. Here is what the signal means, what xAI’s benchmarks show, and what they do not.
Sakana AI shipped Fugu-Ultra v1.1 on July 24, 2026, refreshing its multi-agent orchestration model with newer frontier workers. Sakana claims up to 7.9 benchmark points over v1.0, with the biggest gains on ProgramBench and Terminal Bench 2.1, and keeps pricing identical to v1.0. Here is what changed, what is still vendor-reported, and how to evaluate the upgrade.