IBM Developer

@IBMDeveloper · Global · joined 19 Sep 2008

Join our community to explore agentic AI, data science & cloud tech through tutorials, challenges & expert insights. Build skills, learn & grow with us.

121 776Followers

34 476Following

84 505Posts total

10.9KViews on collected posts

Latest posts

IBM Developer@IBMDeveloper15 Sep

Turn one BRD into a multi-agent solution with five AI agents, Python tools, and a knowledge base. Follow Ahmed Azraq and Allen Chan as they use the Launch Bob feature in watsonx Orchestrate to build, test, evaluate, and deploy the solution: https://t.co/lsvalsm5Cs https://t.co/c

1.5K views · 9 likes · 1 reposts · 1 replies Open on X →

IBM Developer@IBMDeveloper14 Sep

Same coding agent. Completely different outcomes. Context can be the difference between a rough response and production-ready software. @TechCowgirlBri explains why: https://t.co/uZBwNp0LSc https://t.co/8aRWSaIT7Q

1.5K views · 14 likes · 2 reposts · 2 replies Open on X →

IBM Developer@IBMDeveloper9 Sep

@IBMDeveloper https://t.co/kAzQuhh81K

GIF

958 views · 5 likes · 0 reposts · 1 replies Open on X →

IBM Developer@IBMDeveloper9 Sep

Learn more: https://t.co/0C1dPLP5BL 770 views · 2 likes · 0 reposts · 0 replies Open on X →

IBM Developer@IBMDeveloper9 Sep

Consider this your printed reminder: 💻 IBM TechXchange 2026 🗓️ October 26–29 📍 Atlanta, GA See you there. 👀 https://t.co/sYqRPWuzFt

3.7K views · 25 likes · 5 reposts · 7 replies Open on X →

IBM Developer@IBMDeveloper4 Sep

Coding agents can turn a vague idea into working software fast. But what happens when no one has defined what “correct” means? Markus Eisele explores how much specification agentic development actually needs: https://t.co/X6APdp4XRv https://t.co/yKXK2lkVxq

2.4K views · 17 likes · 5 reposts · 0 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 100K–1M follower range. right around the median for its follower range.

Median views1 540this account5 881median for 100K–1M

Reach, %1.26%this account1.56%median for 100K–1M

Engagement, %0.81%this account0.98%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	1 540	5 881	0.26×
Reach (views ÷ followers)	1.26%	1.56%	0.81×
Engagement rate	0.81%	0.98%	0.82×

Others in this range → Compare with another account → How these benchmarks are built →

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

2.4K4 Sep

3.7K9 Sep

770

958

1.5K14 Sep

1.5K15 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

0.90%4 Sep

1.04%9 Sep

0.26%

0.63%

1.24%14 Sep

0.71%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.98%.

What the audience does

Likes63.2%72 in total

Reposts11.4%13 in total

Replies9.6%11 in total

Quotes1.8%2 in total

Bookmarks14.0%16 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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts