SD Times

@sdtimes · joined 22 Dec 2008

The leading site for software developers and development managers, offering news, analysis, podcasts, and live webinars on a range of topics.

22 955Followers

6 561Following

89 509Posts total

1.1KViews on collected posts

โพสต์ล่าสุด

SD Times@sdtimes8 Sep

This gives users more model choice to which to delegate their work, and according to Microsoft’s announcement, GPT-6 Astra will enable users to delegate larger tasks, while the users can review the work and make decisions that can move work forward. https://t.co/bbMvkr80LS 265 views · 0 likes · 0 reposts · 0 replies Open on X →

SD Times@sdtimes2 Sep

For years, AI on the mainframe was often experimental. Companies now view AI as an operational tool. However, they want AI to provide insight and advice, but they are not ready to give it full control. @BMC https://t.co/kEIp9ENufD https://t.co/je5VCyR2cV

163 views · 0 likes · 0 reposts · 0 replies Open on X →

SD Times@sdtimes26 Aug

@sdtimes @melissa Strongly agree, and the failure is usually invisible in the code. Ours: the MCP schema documented an op the server never dispatched. The error it returned was "unknown op — read the schema for the full command list", pointing the agent at the exact document tha 9 views · 1 likes · 0 reposts · 0 replies Open on X →

SD Times@sdtimes26 Aug

Wrapping a REST API as a Model Context Protocol server takes about 20 minutes. Wrapping it so that an agent uses it correctly takes considerably longer, and the difference is almost entirely in decisions that do not look like code decisions. @melissa https://t.co/LFS8gZssIs 255 views · 0 likes · 0 reposts · 1 replies Open on X →

SD Times@sdtimes25 Aug

Platform Engineering 2.0 extends the self-service, paved-road model of traditional platform engineering to support autonomous AI agents alongside human developers. https://t.co/5k8f1Matgj 184 views · 0 likes · 0 reposts · 0 replies Open on X →

SD Times@sdtimes25 Aug

One of the big complaints engineers working with AI have is that it has no memory, so users basically have to start from scratch every day. It was Groundhog Day for engineering. @Anthropic https://t.co/VzxFaNcogD 224 views · 0 likes · 0 reposts · 0 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน204บัญชีนี้935ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %0.89%บัญชีนี้3.43%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.00%บัญชีนี้1.54%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	204	935	0.22×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	0.89%	3.43%	0.26×
อัตราการมีส่วนร่วม	0.00%	1.54%	0.00×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

22425 Aug

184

25526 Aug

1632 Sep

2658 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.00%25 Aug

0.00%

0.39%26 Aug

11.11%

0.00%2 Sep

0.00%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.54%.

What the audience does

Likes50.0%1 in total

Replies50.0%1 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.