Codetown ::: a software developer's community
Time: February 1, 2010 to February 11, 2010
Location: http://codechef.com/FEB10/
City/Town: Global
Website or Map: http://www.codechef.com
Event Type: online, coding, competition
Organized By: CodeChef
Latest Activity: Feb 1, 2010
The CodeChef February Challenge begins on 1st February and will be on through 11th February.
Top 20 participants from India ill win cash prizes up to Rs.55k and now for the top 5 global participants will win cash worth up to $1100 as well!
If you haven't already signed up, log on to codechef.com and get cracking.
You can submit your solutions in over 35 programming languages including C/C++/C#, Java, Python, Ruby, Perl, PHP, Haskell, Pascal and more!
You can check out more details about the contest here: codechef.com/FEB10
Cheers,
The Chef
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case) to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.
By Sarah Usher
The OpenJDK Amber project has published a new design note proposing “carrier classes” and “carrier interfaces” to extend record-style data modeling to more Java types. The proposal preserves concise state descriptions, derived methods, and pattern matching, while relaxing structural constraints that limit records.
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As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.
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