Different models need different prompts, sometimes tools “Harness profiles” are how we do that in deepagents
LLMS
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OpenAI Codex introduces Side Conversions in ChatGPT for side questions
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OPENAI : Codex in ChatGPT now supports Side Conversions, allowing users to ask side questions without disrupting the main thread. /Side testing
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System built with Codex due to Claude’s mistakes
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nah, it’s built with codex. Claude makes too many mistakes.
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Model Release Cycles: Anthropic & OpenAI Speed Advantage
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The model release cycles from Anthropic & OpenAI are genuinely insane, previously we had 6-12 months between updates, now models are released every 1.5 months. This is an under-appreciated reason why Anthropic & OpenAI are in the lead. Google's releases are not as fast,
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Deep Agents v0.6 Enhances Harness Profiles for Cost-Effective AI Model Performance
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Deep Agents v0.6 makes harness profiles a first-class abstraction. Now, you can get production-grade performance from models like @Kimi_Moonshot
, @Alibaba_Qwen
, and @DeepSeek_ai at 20x+ lower cost than closed frontier APIs. More on tuning: -
Use Claude to Interview Requirements for an AI Project
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5. Interview For anything ambiguous, don't write the full spec yourself. Make Claude extract it: "I want to build [rough idea]. Before we start, interview me. Ask me one question at a time about requirements, constraints, edge cases, and what done looks like. Keep asking until
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Prompt: Grill the AI to defend code changes
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2. The Grill After Claude says it's done, don't trust it. Make it defend the work: "Grill me on these changes. Diff your work against main, find every assumption you made, every edge case you didn't handle, and every place this could break in production. Don't open a PR until
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Anthropic’s Claude Opus 4.8 and 7 Claude Code Prompts
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Claude Opus 4.8 just dropped. Anthropic says it's 4x less likely to let flawed code slip through than 4.7.
— God of Prompt (@godofprompt) 29 mai 2026
But the model is only half of it. The other half is how you prompt it.
Here are 7 Claude Code prompts the best builders already run on repeat. Steal all 7: 👇 pic.twitter.com/bBX5KXnmCMClaude Opus 4.8 just dropped. Anthropic says it's 4x less likely to let flawed code slip through than 4.7. But the model is only half of it. The other half is how you prompt it. Here are 7 Claude Code prompts the best builders already run on repeat. Steal all 7:
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LLM Differentiation: Context Over Model Selection
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Every manufacturer uses the same LLMs. The differentiator is the context fed to those models, not the models themselves.
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Codex wins benchmarks that reflect real software engineering
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codex ofc. The one that wins the benchmarks that reflect real software engineering.