resolving tickets, fixing bugs, tagging releases, updating dependency versions,
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
Иран установил личности виновных в ударе по школе для девочек в Минабе14:56。业内人士推荐体育直播作为进阶阅读
Lily JamaliNorth America Technology correspondent
。WPS官方版本下载是该领域的重要参考
���f�B�A�ꗗ | ����SNS | �L���ē� | ���₢���킹 | �v���C�o�V�[�|���V�[ | RSS | �^�c���� | �̗p���� | ������，这一点在谷歌浏览器下载中也有详细论述
static final class Signaller extends Completion