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James Ward

@JamesWard · Crested Butte, CO, USA · joined 28 Feb 2007

My book: https://t.co/QGevhw6nyE | My podcast: @HappyPathProg | @AWSCloud Agent Experience | @AgenticAIFdn TC | My opinions are mine

18 877Followers
3 294Following
10 516Posts total
45KViews on collected posts

Derniers posts

So I'm creating a declarative programming language with the help of AI. Overall super helpful. But here is where it gets hard... I really can't tell the difference between it gas-lighting me and it saying something actually smart. My BS detector is much more effective with 2.8K views · 47 likes · 2 reposts · 13 replies Open on X →
ai> we need to bump the major version because we've made significant breaking changes. me> oh my sweet gpu. we have never shipped anything. now get back to work breaking things. 1.4K views · 19 likes · 1 reposts · 4 replies Open on X →
I get the reasons why people prototype in Python and eventually graduate to Rust. I go another way: prototype & scale with JVM languages. So I can move fast and get great runtime performance, without a rewrite in between. 6.3K views · 97 likes · 10 reposts · 15 replies Open on X →
That is the least interesting part of Effect Oriented Programming. But glad to have more devs dipping their toe in the EOP water. 6.4K views · 31 likes · 0 reposts · 0 replies Open on X →
Still cooking! A few more new projects in the past 2 months: - ZIO HTTP MCP client/server library: https://t.co/Q6ABLSIzxW - ZIO Bedrock library: https://t.co/c0LHfifXda - sbt revolver alternative for sbt 2.0: https://t.co/b39B2nT6Ps - sbt webjars plugin: https://t.co/MJAMdXyiVF 6.6K views · 41 likes · 6 reposts · 2 replies Open on X →
@JamesWard Love your take on enterprise-grade AI. Building WisePick: a 0.0s latency Scaffold that converts LLM judgment into deterministic Rules. Bringing stability to Agentic Architectures via Rule-based Sidecars. Thoughts on this approach? ˗ˋˏ( ´͈ ᗜ `͈ )ˎˊ˗ https://t.co/OaLpD
132 views · 1 likes · 0 reposts · 0 replies Open on X →
The past 3 months have been the most intense and fruitful of my entire career. I've been cooking, coding, vibing, architecting, designing, imagining, and delivering production systems while teaching developers around the world how to build enterprise-grade AI systems. I'm on my 21.4K views · 93 likes · 9 reposts · 2 replies Open on X →

Face aux comptes de taille comparable

5 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes6 344ce compte1 043médiane pour 10K–100K
Portée, %33.61%ce compte3.67%médiane pour 10K–100K
Engagement, %1.72%ce compte1.68%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post6 3441 0436.08×
Portée (vues ÷ abonnés)33.61%3.67%9.16×
Taux d'engagement1.72%1.68%1.03×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

21.4K16 Apr
13210 May
6.6K26 Jun
6.4K11 Sep
6.3K
1.4K12 Sep
2.8K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.49%16 Apr
0.76%10 May
0.74%26 Jun
0.49%11 Sep
1.92%
1.72%12 Sep
2.25%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.68%.

What the audience does

Likes67.4%329 in total
Reposts5.7%28 in total
Replies7.4%36 in total
Bookmarks19.5%95 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.

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