def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
def fetch created at(): conn = pymysql.connect( host=MYSQL HOST, port=MYSQL PORT, user=MYSQL USER, password=MYSQL PASSWORD, database=MYSQL DATABASE, charset="utf8mb4", ) try: with conn.cursor() as cur: cur.execute("SELECT created at FROM A WHERE uid=%s", (TAR…
大家天天在这里讨论封号呀,降智呀,重置额度呀,新模型呀之类的话题。但我想认真讨论一个 AI 时代的技术问题。 在中文开发已经成为主流的当下,我们应该如何保证你的产品不会因为 AI 产出的屎山代码而彻底从底层崩溃掉。 先说结论,我认为大家应该把关注点平均分成三份,代码,测试,文档。这三份都要投入同等的注意力,甚至我觉得测试文档加起来的 token 占用至少要到整个项目的 2/3 以上。 这里先单独讨论一下文档方面的问题,很多从一年前开始接触 AI 编程的都知道实际开发之前要先让 AI 写 Plan ,然后你就会有成…
大家天天在这里讨论封号呀,降智呀,重置额度呀,新模型呀之类的话题。但我想认真讨论一个 AI 时代的技术问题。 在中文开发已经成为主流的当下,我们应该如何保证你的产品不会因为 AI 产出的屎山代码而彻底从底层崩溃掉。 先说结论,我认为大家应该把关注点平均分成三份,代码,测试,文档。这三份都要投入同等的注意力,甚至我觉得测试文档加起来的 token 占用至少要到整个项目的 2/3 以上。 这里先单独讨论一下文档方面的问题,很多从一年前开始接触 AI 编程的都知道实际开发之前要先让 AI 写 Plan ,然后你就会有成…
大家天天在这里讨论封号呀,降智呀,重置额度呀,新模型呀之类的话题。但我想认真讨论一个 AI 时代的技术问题。 在中文开发已经成为主流的当下,我们应该如何保证你的产品不会因为 AI 产出的屎山代码而彻底从底层崩溃掉。 先说结论,我认为大家应该把关注点平均分成三份,代码,测试,文档。这三份都要投入同等的注意力,甚至我觉得测试文档加起来的 token 占用至少要到整个项目的 2/3 以上。 这里先单独讨论一下文档方面的问题,很多从一年前开始接触 AI 编程的都知道实际开发之前要先让 AI 写 Plan ,然后你就会有成…