henrygarner

5 ms·

1.
by henrygarner 6mo ago
Mike, thank you so much for such patient and thoughtful corrections. I've updated the article in response to each point you raised and added footnotes crediting you and Ron Burkey, who shared some of the same feedback via email. It&#x2
2.
We found an undocumented bug in the Apollo 11 guidance computer code(juxt.pro)
439 points by henrygarner 6mo ago|200 comments
3.
From specification to stress test: a weekend with Claude(juxt.pro)
42 points by henrygarner 8mo ago|32 comments
4.
by henrygarner 8mo ago
Over a weekend, between board games and time with my kids, Claude and I built a distributed system with Byzantine fault tolerance, strong consistency and crash recovery under arbitrary failures. I described the behaviour I wanted in Allium,
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Allium is an LLM-native language for sharpening intent alongside implementation(juxt.github.io)
8 points by henrygarner 8mo ago|0 comments
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JUXT AI Radar(juxt.pro)
2 points by henrygarner 1y ago|0 comments
7.
by henrygarner 13y ago
Likely - Shoreditch, London, UK. Full Time & Contract. Clojure + Hadoop + Cascalog + Clojurescript + Redshift + Lambda Architecture http://likely.co/ Founded in 2011, Likely is at the forefront of social media data coll
8.
by henrygarner 13y ago
Likely - Shoreditch, London, UK. Full Time & Contract. Clojure + Hadoop + Cascalog + Clojurescript + Redshift + Lambda Architecture http://likely.co/ Founded in 2011, Likely is at the forefront of social media data coll
9.
by henrygarner 13y ago
Likely - Shoreditch, London, UK. Full Time & Contract. Clojure + Hadoop + Cascalog + Clojurescript + Redshift + Lambda Architecture http://likely.co/ Founded in 2011, Likely is at the forefront of social media data coll
10.
by henrygarner 13y ago
Likely - Shoreditch, London, UK. Full Time. Clojure + Hadoop + Ubuntu + Rails + CoffeeScript http://likely.co/about/ Founded in 2011, Likely is already at the forefront of social media data collection and analysis having helped companies
11.
by henrygarner 14y ago
Likely, London UK, Full-time. (Clojure, Cascalog, Hadoop) Likely use "big data" from social media platforms such as Twitter, Facebook and YouTube to connect audiences with the things they will love. We do this by helping brands better under