Agenda

💡🇩🇪

[MovieTalks🎬🍿 @jackofficial_01]

Absolutely, this movie is insane, Overrated 10/10

[Unfiltered @quotesdaily100]

Best Podcasts for Intellectual Growth

[Marcos Besteiro 👧🏻👶🏻 @MarcosBL]

Take a funny peak at https://t.co/6LJ9lVhaxA subdomain certificates. Comment with your favorite 🤣 https://t.co/5343TG0Kmq

[Charly Wargnier ♨️ @DataChaz]

every software engineer after reading this:

[Yarchi @undefinedKi]

Lock yourself in just for 15 minutes and go through this site.

I promise you'll know more about ai agents than 95% of people.

https://t.co/TNypD7AlkZ

[Andrej Karpathy @karpathy]

Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
https://t.co/JIhXN7OSh1

- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊

A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.

Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.

[Daniel Gross @danielgross]

We're launching a $100,000 challenge to see who can make Muse Spark run fastest: https://t.co/oItArGroDn

[nick @nickvernij]

hehe

[TRÄW🤟 @thatstraw]

Bash Scripting Basics

[Mens Canvas @MensCanvas]

7 Best Color Combos For Men:

1.

[Agenda @agenda_252]

@siasatpk @grok What is IMF latest chargesheet/report against/for pakistan?

[spidey @lochan_twt]

channel so goated that it beats all your uni courses

[sierra ˙⋆✮⋆˚ @sarvielle]

i love this omg

[Agenda @agenda_252]

@stfuesh @grok What about January 22nd and March 22?

[Dhanian 🗯️ @e_opore]

As a senior Python backend developer,
it is important to have a solid understanding of the following 40 topics:

1. CAP Theorem
2. Consistency Models
3. Distributed System Architectures
4. Socket Programming (TCP/IP and UDP)
5. RESTful API Design
6. Remote Procedure Call (gRPC, Thrift)
7. Message Queues (Kafka, RabbitMQ, Celery, Redis Queue)
8. Python Concurrency (asyncio, threading, multiprocessing)
9. Thread Safety and Synchronization (Locks, Semaphores)
10. Python Memory Model and GIL Behavior
11. Distributed Databases (Cassandra, MongoDB, HBase)
12. Data Sharding and Partitioning
13. Caching Mechanisms and Patterns (Redis, Memcached, Cache-Aside, Write-Behind)
14. Zookeeper / etcd for Distributed Coordination
15. Consensus Algorithms (Paxos, Raft)
16. Distributed Locks (Zookeeper, Redis RedLock)
17. Framework Mastery (Django, FastAPI, Flask)
18. Service Discovery (Consul, Eureka, Kubernetes DNS)
19. API Gateways (NGINX, Kong, Traefik)
20. Inter-service Communication (REST, gRPC, GraphQL, Async Messaging)
21. Circuit Breakers and Retry Patterns (Tenacity, custom middlewares)
22. Load Balancing (NGINX, Kubernetes, Client-side Load Balancing)
23. Failover Mechanisms
24. Distributed Transactions (Saga, Outbox, 2PC)
25. Logging and Distributed Tracing (OpenTelemetry, Jaeger, Zipkin)
26. Monitoring and Metrics (Prometheus, Grafana, StatsD)
27. Alerting Systems and Observability Practices
28. Authentication and Authorization (OAuth2, JWT, OIDC)
29. Encryption and Secure Communication (SSL/TLS, mTLS)
30. Rate Limiting and Throttling
31. Kafka Deep Dive (Exactly-once Semantics, Consumer Groups, Partitions)
32. In-memory Data Grids (Hazelcast, Redis Cluster)
33. Actor-based Concurrency (Ray, Pykka)
34. Event-Driven Architecture (Event Sourcing, CQRS)
35. Cluster Management with Kubernetes
36. Cloud-Native Development (12-factor principles, Sidecars, Service Mesh)
37. Serverless Computing (AWS Lambda, Google Cloud Functions)
38. Distributed Data Processing (Apache Spark, Apache Flink, Dask)
39. API Schema and Contract Evolution (OpenAPI, backward compatibility)
40. Python Runtime and Performance Tuning for Distributed Systems

Grab this Python Developer Mastering Ebook: https://t.co/M2548hbzXr

[tokenbender @tokenbender]

this is beyond mindblowing for me.

somebody built a 5 million param language model inside minecraft, trained it, equipped it with basic conversational ability.

probably the best thing i have seen entire month.

[YourCloudDude | AWS & Python @yourclouddude]

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