7/ The multi-Claude workflow is powerful: one writes code, another follows up behind and reviews. You can also use git worktrees for parallel Claude sessions on different features.
CODE
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Claude Automation: Headless Mode for Code Review and Linting
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6/ For automation, headless mode (claude -p) handles everything from PR labeling to subjective code review beyond what linters catch. Or try the –dangerously-skip-permissions mode. Spin up a container and let Claude loose on something like linting or boilerplate generation
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Claude Streamlines Codebase Onboarding Through Intelligent Code Analysis
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5/ We're using Claude for codebase onboarding now. Engineers ask it "why does this work this way?" and it searches git history and code for answers which has cut onboarding time significantly.
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Test-Driven Development Keeps Claude Focused and On Track
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3/ Test-driven development works very well for keeping Claude focused. Write tests, commit them, let Claude implement until they pass.
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Explore-Plan-Code Workflow Improves Claude Output Quality
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2/ The explore-plan-code workflow is worth trying. Instead of letting Claude jump straight to coding, have it read files first, make a plan (add "think" for deeper reasoning), then implement. Quality improves dramatically with this approach.
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Claude MD Files: Hidden Gem for Project Context Management
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1/ CLAUDE md files are the main hidden gem. Simple markdown files that give Claude context about your project – bash commands, code style, testing patterns. Claude loads them automatically and you can add to them with # key
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Effective patterns for using Claude Code at Anthropic
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We wrote up what we've learned about using Claude Code internally at Anthropic. Here are the most effective patterns we've found (many apply to coding with LLMs generally):
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Google AI Studio Adds App Rendering Feature
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BREAKING : Google AI Studio will get Apps rendering feature soon. Devs will be able to use Gemini to build apps that use Gemini. Bonus A full system prompt used behind Apps on AI Studio (in the post below)
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Prompt Engineering Challenge Versus Vibe Coding Approach
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This is a prompt engineering challenge, not a vibe coding one imo.
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Parameter-Efficient Unlearning Methods for Large Language Models
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Unified Parameter-Efficient Unlearning for LLMs
Paper: https://
arxiv.org/pdf/2412.00383
Code: https://
github.com/oceanoceanna/L
LMEraser
…