Netflix uses Python Google uses Python Anthropic uses Python Meta uses Python xAI uses Python Perplexity uses Python DeepSeek uses Python Instagram uses Python Spotify uses Python Dropbox uses Python Reddit uses Python Pinterest uses Python Uber uses Python Airbnb uses Python Quora uses Python But sure… Python is ‘too slow’ for your todo app.

Take this 3 second eye test to check if you are color blind 👇👇

are u serious rn...

Wall Street Journal is reporting that Amazon reported the jailbreaks to the Department of Commerce, who instituted the ban

I guess, in the end, it was a fable after all...

btw there is a way to use opencode go, zen/free models inside copilot harness completely for free

As a Backend Developer, Slap yourself if you cannot clearly explain at least 10 of the following: TCP congestion control algorithms TLS 1.3 handshake internals HTTP/2 multiplexing & HPACK HTTP/3 QUIC packet loss recovery Connection pooling pitfalls Zero-downtime deployment strategies Database transaction isolation levels (serializable vs snapshot) B-tree vs LSM-tree index internals Query planner & cost-based optimization Deadlock detection & prevention ACID vs BASE trade-offs Two-phase commit vs Saga pattern Distributed locking (Redlock pitfalls) CAP theorem in practice CRDTs & conflict-free replicated data types Eventual consistency anti-patterns Kafka partition rebalancing & exactly-once semantics RabbitMQ dead-letter queues & message ordering gRPC streaming flow control GraphQL resolver batching & N 1 problem OAuth2 token introspection vs JWT validation Rate limiting algorithms (token bucket vs leaky bucket) Circuit breaker bulkhead patterns Observability: OpenTelemetry tracing propagation Prometheus metric cardinality explosion Log aggregation with sampling Memory-mapped files vs traditional I/O Garbage collection tuning (G1 vs ZGC) Thread pools vs virtual threads (Project Loom) Actor model vs shared-memory concurrency Message-driven architecture (Akka / Orleans) CQRS Event Sourcing projections Outbox pattern for reliable events Sharding strategies & hot partition avoidance Read replicas lag monitoring Database connection pool exhaustion Prepared statement caching Index bloat & vacuum strategies Kubernetes pod disruption budgets Service mesh traffic shifting Serverless cold-start mitigation API gateway throttling & caching layers Background job queues (Celery / BullMQ) retry semantics Distributed cache invalidation (cache-aside vs write-through) Eventual consistency in cache Idempotency keys in API design Optimistic locking with version vectors Paxos / Raft consensus internals Byzantine fault tolerance basics Chaos engineering principles Database failover & split-brain prevention Microservices observability (distributed tracing) API contract testing (Pact / Spring Cloud Contract) Backward-compatible schema evolution Protobuf vs JSON performance trade-offs Binary protocol parsing Zero-copy networking (sendfile) epoll / kqueue internals Syscall overhead & context switching Memory barriers & CPU cache coherence Lock-free data structures Bloom filters & HyperLogLog in practice Consistent hashing for load balancing Virtual memory & page faults impact Container runtime security (seccomp, AppArmor) Sidecar pattern limitations Service discovery (Consul vs DNS) Blue-green vs canary deployments Feature flags with rollout strategies Data pipeline backpressure handling Exactly-once processing guarantees Idempotent consumers in event streams And if you only know 10 — kindly return the “Senior Backend Developer” title. 😄

We’ve officially shipped Tibo as a Service! 🔴 You can now press the reset button on your own time. Want more resets? Invite friends to Codex! 🎁

i'm out of time

gpt 5.5 pro spotted in the codex app settings search under usage & billing 👀

For the first time saw the full clip & oh my god this is disgusting to another level! This is even more disgusting than what happened at India’s Got a latent. And I have no sympathy for this Himanshu guy. You need to bear consequences for your mindset.

$200/m Codex with GPT-5.5 > $2,000/m Claude with Fable 5

Nvidia ($5.05 trillion) is now worth more than India ($4.15 trillion).