Addy Osmani ✓

@addyosmani · Mountain View, CA · joined 26 Apr 2009

Claude Code @anthropicai

422 275Followers

2 771Following

29 193Posts total

1.6MViews on collected posts

Derniers posts

Addy Osmani ✓@addyosmani7 Sep

@addyosmani Blast radius estimation is one of the meanginful AI use cases 704 views · 3 likes · 0 reposts · 0 replies Open on X →

Addy Osmani ✓@addyosmani7 Sep

@addyosmani Are there effective ways to objectively assess blast radius? Multi-model evaluation as well? 2.1K views · 2 likes · 0 reposts · 1 replies Open on X →

Addy Osmani ✓@addyosmani7 Sep

@addyosmani same playbook, shipping it as mergeCraft. agents do the first pass. humans cover blast radius. approval stays a human call. https://t.co/uWj8uCjltp 101 views · 2 likes · 0 reposts · 0 replies Open on X →

Addy Osmani ✓@addyosmani7 Sep

How I do code reviews these days: more code = more selective human review i.e. don't read all the code. 1. Every PR gets a multi-agent first pass. It should find bugs, verify them, rank by severity, suggest fixes. Approval stays a human call on anything that matters. 2. Low 146.5K views · 1K likes · 81 reposts · 79 replies Open on X →

Addy Osmani ✓@addyosmani6 Sep

If you’ve stopped doing human code reviews: how is it going? If you’re still doing them: how are you able to keep up with the explosion of code + PRs, and how do you prioritise what to review “properly”? 501.6K views · 1.3K likes · 63 reposts · 330 replies Open on X →

Addy Osmani ✓@addyosmani3 Sep

How to maximize the value of your Claude Code sessions: https://t.co/YGa8swOX6v Solid guidance on managing token efficiency and keeping context windows focused by @lydiahallie https://t.co/nU2lFYWoom 37.3K views · 580 likes · 54 reposts · 37 replies Open on X →

Addy Osmani ✓@addyosmani3 Sep

"Good culture is a prerequisite for everything else. But when it comes to AI, it amplifies everything you already have" https://t.co/FSZvwPp6Jo by @gregorojstersek A team's culture determines whether speed compounds or just gets you to the wrong place sooner. https://t.co/11Ao 13.5K views · 136 likes · 20 reposts · 8 replies Open on X →

Addy Osmani ✓@addyosmani3 Sep

Anthropic published a new guide on how to strip the "Claude" out of Claude's writing (e.g. mannered prose) Here's an official de-flavoring prompt for Fable 5.1, which already cuts back on AI boilerplate/jargon: https://t.co/yfpWUtdT8h https://t.co/RT4Z6FzK8V 173.4K views · 1.7K likes · 106 reposts · 79 replies Open on X →

Addy Osmani ✓@addyosmani2 Sep

"The most important skill in prompting is expertise in the domain you’re prompting for" https://t.co/Dgme0HcL2z Sometimes the human is the bottleneck. A good reminder LLMs are a force multiplier if you're skilled and to build this domain expertise if you don't have it yet. htt 28.8K views · 525 likes · 69 reposts · 35 replies Open on X →

Addy Osmani ✓@addyosmani31 Aug

@addyosmani I’d like to redefine “AI slop”. It’s not so much the output, that is getting better than humans. It’s that without reviewing and applying judgement and taste it becomes “slop”. 1.2K views · 3 likes · 0 reposts · 0 replies Open on X →

Addy Osmani ✓@addyosmani31 Aug

@addyosmani I used AI because of non native English. So whatever I want to say I just use for polishing and rephrasing is correct manner so that it will not create confusion or misunderstanding. So thoughts are still mine but wrapper will be done by AI. 2.4K views · 3 likes · 0 reposts · 1 replies Open on X →

Addy Osmani ✓@addyosmani31 Aug

@addyosmani The people who paste AI without reading are the ones who need this most They just wont read it either 1.4K views · 3 likes · 0 reposts · 1 replies Open on X →

Addy Osmani ✓@addyosmani31 Aug

"Don't paste the AI, please" "The world is full of people who don't want to read or think things through. Don't be one of them." https://t.co/aCuUH0Sgpo https://t.co/HpbkAzaWCY 71.2K views · 1.1K likes · 150 reposts · 51 replies Open on X →

Addy Osmani ✓@addyosmani31 Aug

Mastery still comes from doing the reps. Before agents, I got my reps as part of writing code: try different approaches out, debug what went wrong, review other’s code, read a lot. Agents can skip much of that work, so building your reps has to be deliberate. If I was new to ht 16.2K views · 172 likes · 15 reposts · 20 replies Open on X →

Addy Osmani ✓@addyosmani2 Jan 2024

@addyosmani Perfection is the handmaiden to procrastination. 724 views · 5 likes · 0 reposts · 0 replies Open on X →

Addy Osmani ✓@addyosmani30 Dec 2023

@addyosmani Absolutely love this reminder, especially as we step into a new year. 'First do it, then do it right, then do it better.' Taking that initial step, imperfect as it may be, is the catalyst for progress. 2.2K views · 7 likes · 0 reposts · 0 replies Open on X →

Addy Osmani ✓@addyosmani24 Dec 2023

@addyosmani @rachelnabors Totally Iterate Iterate Iterate Kaizen 5.5K views · 22 likes · 1 reposts · 2 replies Open on X →

Addy Osmani ✓@addyosmani24 Dec 2023

"First do it, then do it right, then do it better." Just start. The journey to success often begins with a single step, but that first step can be the hardest to take. It's easy to get caught up in the fear of failure or the desire for perfection, but I hope this quote I first h 550.4K views · 3.2K likes · 660 reposts · 129 replies Open on X →

Addy Osmani ✓@addyosmani28 Mar 2023

@smashingmag @jecfish Woohoo. Very well deserved, Jec! 👏 2.2K views · 2 likes · 0 reposts · 0 replies Open on X →

Addy Osmani ✓@addyosmani27 Mar 2023

Our Person of the Week is a DevRel Engineer at Google working on Chrome DevTools and Browser Automation. Please give a warm round of applause for... Jecelyn Yeen! Thank you for everything you do for the community, dear @jecfish! #smashingcommunity https://t.co/B5jihLl22H

34.1K views · 74 likes · 16 reposts · 5 replies Open on X →

Face aux comptes de taille comparable

14 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes14 854ce compte5 983médiane pour 100K–1M

Portée, %3.52%ce compte1.49%médiane pour 100K–1M

Engagement, %0.95%ce compte0.93%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	14 854	5 983	2.48×
Portée (vues ÷ abonnés)	3.52%	1.49%	2.36×
Taux d'engagement	0.95%	0.93%	1.02×

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

16.2K31 Aug

71.2K

1.4K

2.4K

1.2K

28.8K2 Sep

173.4K3 Sep

13.5K

37.3K

501.6K6 Sep

146.5K7 Sep

101

2.1K

704

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.28%31 Aug

1.90%

0.29%

0.17%

0.26%

2.21%2 Sep

1.10%3 Sep

1.24%

1.80%

0.34%6 Sep

0.80%7 Sep

1.98%

0.14%

0.43%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes49.9%9 924 in total

Reposts6.2%1 235 in total

Replies3.9%778 in total

Quotes0.5%109 in total

Bookmarks39.4%7 824 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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