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@turkesapsiquica5:

Turkesa Psiquica🤦🏻‍♀️
Turkesa Psiquica🤦🏻‍♀️
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Tuesday 04 August 2026 06:09:05 GMT
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tupapileal
🌽alonsito🦂❤️‍🐺💛🔥 :
falta. de escorpion
2026-08-14 01:29:59
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this woman was protesting while her husband was the police officer protecting her . . . . . . Hashtags #woman #protest #husband #fy #viral . . I do NOT own this video. All credits to the original owner. Dm for credits or removal.
this woman was protesting while her husband was the police officer protecting her . . . . . . Hashtags #woman #protest #husband #fy #viral . . I do NOT own this video. All credits to the original owner. Dm for credits or removal.
More context does not always mean better answers. Sometimes your AI is underperforming because it is forced to process: Old instructions. Duplicated rules. Contradictions. Irrelevant details. Dozens of rigid exceptions. Claude Code reportedly removed more than 80% of its system prompt for newer models without measurable deterioration in its coding evaluations. The lesson is not to remove all structure. It is to replace bloated context with a cleaner system: 1. Keep the permanent core small Your goal, constraints, permissions and definition of done should always be available. 2. Load specialist instructions only when needed Security rules, publishing workflows, SEO procedures or deployment checklists should live in dedicated Skills—not inside every prompt. 3. Give each instruction one canonical home When the same rule appears in your system prompt, project file, memory and Skill, contradictions become almost inevitable. 4. Teach judgment instead of writing endless exceptions “Never add comments” is rigid. “Match the project’s style and comment only when the logic is not obvious” teaches the AI how to decide. 5. Show the AI what good looks like Approved components, tests, mockups, examples and evaluation rubrics are often more useful than another paragraph of preferences. A stronger AI workflow looks like this: Clear goal → Relevant Skill → Strong reference → Verified result Before adding another instruction, run a quick context audit: Delete stale rules. Merge duplicates. Resolve contradictions. Move procedures into Skills. Keep only non-obvious context. Add one strong example. Run the same task before and after. The objective is not “less context” at all costs. It is less noise, clearer decisions and more reliable output. Save this carousel before rewriting your Claude Code, Codex, Cursor or Grok setup. Comment “CONTEXT” and I’ll send the full starter pack. #AI #ClaudeCode #ContextEngineering #AITools #Productivity
More context does not always mean better answers. Sometimes your AI is underperforming because it is forced to process: Old instructions. Duplicated rules. Contradictions. Irrelevant details. Dozens of rigid exceptions. Claude Code reportedly removed more than 80% of its system prompt for newer models without measurable deterioration in its coding evaluations. The lesson is not to remove all structure. It is to replace bloated context with a cleaner system: 1. Keep the permanent core small Your goal, constraints, permissions and definition of done should always be available. 2. Load specialist instructions only when needed Security rules, publishing workflows, SEO procedures or deployment checklists should live in dedicated Skills—not inside every prompt. 3. Give each instruction one canonical home When the same rule appears in your system prompt, project file, memory and Skill, contradictions become almost inevitable. 4. Teach judgment instead of writing endless exceptions “Never add comments” is rigid. “Match the project’s style and comment only when the logic is not obvious” teaches the AI how to decide. 5. Show the AI what good looks like Approved components, tests, mockups, examples and evaluation rubrics are often more useful than another paragraph of preferences. A stronger AI workflow looks like this: Clear goal → Relevant Skill → Strong reference → Verified result Before adding another instruction, run a quick context audit: Delete stale rules. Merge duplicates. Resolve contradictions. Move procedures into Skills. Keep only non-obvious context. Add one strong example. Run the same task before and after. The objective is not “less context” at all costs. It is less noise, clearer decisions and more reliable output. Save this carousel before rewriting your Claude Code, Codex, Cursor or Grok setup. Comment “CONTEXT” and I’ll send the full starter pack. #AI #ClaudeCode #ContextEngineering #AITools #Productivity
سورة التوبة - شيخ الزين محمد احمد ❤️✨ . . . . . . . . . #شيخ_الزين_محمد_احمد #قران_كريم #تلاوة_سودانية #الشعب_الصيني_ماله_حل😂😂 #سودانيز_تيك_توك_مشاهير_السودان🇸🇩
سورة التوبة - شيخ الزين محمد احمد ❤️✨ . . . . . . . . . #شيخ_الزين_محمد_احمد #قران_كريم #تلاوة_سودانية #الشعب_الصيني_ماله_حل😂😂 #سودانيز_تيك_توك_مشاهير_السودان🇸🇩


🤍 #рек #fyp #эльбрусджанмирзоев
🤍 #рек #fyp #эльбрусджанмирзоев
شط الحريه 💙#شط_الحريه #fypシ #foryou #youssef_bo_elgroo #جوازي_عيت_الجرو🖤🔥🦅
شط الحريه 💙#شط_الحريه #fypシ #foryou #youssef_bo_elgroo #جوازي_عيت_الجرو🖤🔥🦅

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