phureewat

I read code | |

[Scott @scottstts]

My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it

Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do

[phureewat @phureewat29]

Collaboration shouldn't leave you and your teammate mentally drained.

Drawdy help people collaborate better with each other and with AI, a work board that brings out the best in both sides while leaving minimal cognitive debt.

Our real 10x productivity must start from here.

[Drawdy @drawdyio]

Drawing every diagram yourself is over.

Describe what you need. Your AI agent draws it on the board. You and your team take it from there.

This is Drawdy. The whiteboard that works your way.

[phureewat @phureewat29]

I built a recommendation engine with Jev by @typesafeai, and it works better than I expected for something running on a large dataset.

engine is now live at https://t.co/uPvGhThsK8 describe your mood, and it will suggest a shortlist of great movies especially for you.

[phureewat @phureewat29]

Jev also classifies people who actually understand the difference between LLM/ML, and those who don’t.

[Steve (Builder.io) @Steve8708]

Jev is awesome but for the love of god please STOP posting fake demos

[phureewat @phureewat29]

@typesafeai source code: https://t.co/hrlgtqLbR8

[phureewat @phureewat29]

I got whitelisted for Jev by @typesafeai and sat on it for hours. Robotics work was tempting at first glance, but that would have eaten my whole week, so I picked something I could finish in one sitting.

I ended up building a small roleplay chatbot, the novel kind where the story unfolds as you play, and let Jev read along the output. Every time the chatbot writes a new piece of story, Jev reads it and picks the background scene and the music that fit the current mood of the story.

The outcome is better than I expected. It's accurate and super fast. I played all day and the whole thing cost me just $0.02.

Go try it here: https://t.co/EjMfnalGg0
You play as Jon Snow (Game of Thrones), and the scene and the BGM shift with every move you make. The GitHub repo is also in the replies.

My take is that Jev is best for use cases where you already know all the possible desired states and you want an intelligent layer to make fast decisions within the pipeline, rather than relying on a traditional LLM. Robotics and automation work fit that shape well, and it's probably something I would like to try next.

[phureewat @phureewat29]

every drawing has great music hidden behind.

[Drawdy @drawdyio]

† blue_angel//失.wav
https://t.co/AHKTdwSxh3

[Drawdy @drawdyio]

fish make pretty sounds
https://t.co/ZS9lW4wmGU

[phureewat @phureewat29]

@drawdyio well. I just uninstalled all other photo editor apps to use Drawdy.

[phureewat @phureewat29]

@Joi2James https://t.co/Aer6pkFoNc

[phureewat @phureewat29]

@adhamuxi https://t.co/Aer6pkFoNc

[phureewat @phureewat29]

You don't become senior by being the person who solves the hardest problem.

You become senior when the people around you start solving harder problems because you're there.

[Matt Pocock @mattpocockuk]

AI red flags:

- "My marketer agent just finished a meeting with my chief of staff agent - just 2 of the 127 agents on my books"
- "The agent did it, not me"
- "I've invented a coding language for agents"
- "I've got 250K tokens in my context before I send a message, is that normal?"
- "Opus 5 is way dumber today than yesterday, secret nerf?"
- "Peasants, gaze upon my 600-line CLAUDE.md, my results are incredible"
- "LOOK WHAT OX ALPHA JUST ONE-SHOTTED, SOFTWARE ENGINEERING IS DEAD"
- "All human knowledge is worthless now"
- "I turned 600 coding books into a skill"
- "Coding is solved. Bugs are not solved"

[Sakshi @Sakshi50038]

Who's gonna tell vibe coders about...

> Rate Limiting
> Caching
> Load Balancing
> Reverse Proxies
> API Gateways
> CI/CD
> Docker
> Kubernetes
> Service Discovery
> Circuit Breakers
> Timeouts
> Retries
> Exponential Backoff
> Idempotency
> Message Queues
> Pub/Sub
> Event-Driven Architecture
> Distributed Transactions
> Saga Pattern
> Dead Letter Queues
> Cron Jobs
> WebSockets
> Long Polling
> Server-Sent Events
> Database Indexing
> Query Optimization
> N+1 Queries
> Connection Pooling
> Read Replicas
> Sharding
> Partitioning
> Replication
> Leader Election
> CAP Theorem
> Eventual Consistency
> Optimistic Locking
> Pessimistic Locking
> Distributed Locks
> Race Conditions
> Deadlocks
> Memory Leaks
> Garbage Collection
> Thread Safety
> Backpressure
> Autoscaling
> Horizontal Scaling
> Vertical Scaling
> CDN
> Edge Caching
> Cache Invalidation
> Feature Flags
> Blue-Green Deployments
> Canary Releases
> Rolling Deployments
> Rollbacks
> Health Checks
> Liveness & Readiness Probes
> Monitoring
> Logging
> Distributed Tracing
> Metrics
> Alerting
> SLOs
> SLIs
> Error Budgets
> Observability
> Secrets Management
> IAM
> OAuth
> JWT Rotation
> TLS
> Encryption at Rest
> Encryption in Transit
> WAF
> DDoS Protection
> CORS
> CSRF
> SQL Injection
> XSS
> SSRF
> Database Migrations
> Schema Versioning
> Disaster Recovery
> Backups
> Failover
> Multi-Region Deployments
> Chaos Engineering
> Cost Optimization
> Cold Starts
> Serverless Limits
> Latency
> Throughput
> P99 Latency
> Tail Latency
> Network Partitions
> Clock Skew
> DNS
> TCP vs UDP
> HTTP/2 & HTTP/3
> gRPC
> Webhooks
> API Versioning
> Semantic Versioning
> Infrastructure as Code
> Terraform
> Helm Charts
> Build Caching
> Dependency Hell
> Production Incidents
> On-call
> Postmortems

...until the app gets its first million users.