Tag: ai-agents
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Agentic coding: Rollback plans for changes you did not watch land
A field-tested take on rollback plans for changes you did not watch land with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Honest case for agents that only suggest
A field-tested take on the honest case for agents that only suggest with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: How to review a PR an agent opened in the middle of the night
A field-tested take on how to review a PR an agent opened in the middle of the night with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Guardrails before autonomy, always
A field-tested take on guardrails before autonomy, always with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Planning outputs as the real product of the first turn
A field-tested take on planning outputs as the real product of the first turn with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: What to log when an agent writes for you
A field-tested take on what to log when an agent writes for you with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Difference between an agent and a slow script
A field-tested take on the difference between an agent and a slow script with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Budgets as the only feature that stops a bad loop
A field-tested take on budgets as the only feature that stops a bad loop with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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The Hidden Leverage of Orchestrated Agents
Unlock the advanced power of ChatGPT by orchestrating multiple agents. Learn how to move from single prompts to multi-agent workflows that turn AI into.