Pintu (Learner) retweeted
Top 10 OpenCode Skill Repos:
1. Superpowers - github.com/obra/superpowers
2. Ponytail - github.com/DietrichGebert/po…
3. UI/UX Pro Max - github.com/nextlevelbuilder/…
4. Graphify - github.com/Graphify-Labs/gra…
5. Caveman - github.com/JuliusBrussee/cav…
6. Addy Osmani Skills - github.com/addyosmani/agent-…
7. Understand Anything - github.com/Egonex-AI/Underst…
8. Awesome Claude Skills - github.com/ComposioHQ/awesom…
9. Archify - github.com/tt-a1i/archify
10. Impeccable -github.com/pbakaus/impeccabl…
Pintu (Learner) retweeted
i don't think people realize how big this is…
A US lab just released a 40B open-weight coding model leading its class on three major coding benchmarks.
125+ tok/s on a MacBook. 150+ on RTX Spark.
no per-token fees. no usage limits.
your laptop is now the endpoint.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Pintu (Learner) retweeted
Run UNCENSORED DeepSeek V4.1 Flash 1017 GGUFs locally 🐳
Refusals dropped from 91.4% to 0% and it still answers 86.6% of MMLU questions right vs 86.0% before uncensoring
Get it here👇
huggingface.co/AtomicChat/De…
Pintu (Learner) retweeted
10 Best GitHub Repositories to Learn System Design:
① System Design Primer — Core concepts and interview preparation github.com/donnemartin/syste…
② System Design 101 — Visual explanations of system design concepts github.com/ByteByteGoHq/syst…
③ System Design by Karan Pratap Singh — Structured learning and architecture fundamentals github.com/karanpratapsingh/…
④ Awesome System Design Resources — Curated guides, concepts, and interview problems github.com/ashishps1/awesome…
⑤ Awesome Scalability — Real-world scalability patterns and engineering case studies github.com/binhnguyennus/awe…
⑥ System Design Interview — Interview questions and preparation resources github.com/checkcheckzz/syst…
⑦ Awesome System Design — Curated system design learning materials github.com/madd86/awesome-sy…
⑧ Machine Learning Systems Design — Designing and deploying machine learning systems github.com/chiphuyen/machine…
⑨ Engineering Blogs — Learn from real-world engineering teams and architectures github.com/kilimchoi/enginee…
⑩ System Design Academy — System design learning and practice resources github.com/systemdesign42/sy…
Master system design by studying real architectures, understanding trade-offs, and learning how to build scalable, reliable systems.
Grab system design ebook: codewithdhanian.gumroad.com/…
Pintu (Learner) retweeted
One Ambrane 140W GaN hub replaces the whole tangle — 7 devices, 5 USB-C PD + 2 USB-A, 100W for the laptop, all from a single wall socket. Small enough for the bag. On a deal right now. We verified cheapest + in stock before it's posted. Grab it.
Pintu (Learner) retweeted
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
1/4
Pintu (Learner) retweeted
30 End-to-End AI Product Architecture Designs to Master AI System Design:
① AI Chatbot — LLM + API + Conversation Memory
② RAG System — Documents + Embeddings + Vector Database
③ AI Coding Assistant — LLM + Codebase Indexing + Developer Tools
④ AI Research Agent — Search + Planning + Tool Calling
⑤ AI Customer Support Agent — Knowledge Base + Ticketing + Escalation
⑥ AI SaaS Platform — Authentication + LLM Gateway + Billing
⑦ AI Document Intelligence — OCR + Extraction + Validation
⑧ AI Voice Assistant — Speech-to-Text + LLM + Text-to-Speech
⑨ AI Image Generation Platform — Prompts + Diffusion Models + Storage
⑩ AI Video Generation Platform — Generation Pipeline + GPU Workers
⑪ AI Recommendation Engine — User Embeddings + Ranking + Feedback
⑫ AI Search Engine — Hybrid Search + Reranking + Semantic Retrieval
⑬ AI Fraud Detection System — Feature Engineering + ML Inference
⑭ AI Personalization Engine — User Profiles + Context + Recommendations
⑮ AI Multi-Agent System — Agent Orchestration + Shared State
⑯ AI Workflow Automation — Triggers + Tools + Execution Engine
⑰ AI Knowledge Management System — Ingestion + Indexing + RAG
⑱ AI Meeting Assistant — Audio Processing + Transcription + Summarization
⑲ AI Email Assistant — Classification + Generation + Approval
⑳ AI Data Analyst — Text-to-SQL + Query Execution + Visualization
㉑ AI Financial Intelligence Platform — Data Pipelines + Forecasting + Risk Analysis
㉒ AI Healthcare Assistant — Medical Knowledge + Guardrails + Human Oversight
㉓ AI E-commerce Assistant — Product Retrieval + Recommendations + Checkout Integration
㉔ AI Learning Platform — Adaptive Learning + Assessment + Progress Tracking
㉕ AI Document Generation SaaS — Templates + LLM + PDF Export
㉖ AI Fine-Tuning Platform — Dataset Preparation + Training + Model Registry
㉗ AI Inference Platform — Model Serving + Batching + GPU Scaling
㉘ AI Observability Platform — Tracing + Evaluation + Cost Monitoring
㉙ AI Model Gateway — Routing + Fallbacks + Rate Limiting
㉚ Production-Grade AI Platform — Microservices + Event Streaming + Caching + Security + MLOps
Master these architectures to understand how AI products move from prototypes to reliable, scalable, production-ready systems.
Grab the AI System Design Handbook:
codewithdhanian.gumroad.com/…
Pintu (Learner) retweeted
DeepSeek V4.1 Flash UNCENSORED is FREEE 😳
no jailbreak needed, straight up uncensored
what you get:
- DeepSeek V4.1 Flash uncensored
- 1.05M context
- 60 tok/s, tested
try it here: platform.xplabs.ai
WTFFF, someone dropped a fully jailbroken iphone virtual machine 😳
it runs on your mac. no spare iphone.
open source and FREE
here is how you set it up:
1. recovery mode → csrutil enable --without debug → csrutil allow-research-guests enable
2. install vphone launchpad → host setup → core bundle
3. machines → new machine → create
done. a jailbroken iphone on your mac
needs apple silicon + macos 15
Pintu (Learner) retweeted
This is what a 1 person company looks like in the future.
Not a team.
A system of Al agents replacing entire departments
developersglobal.github.io/a…
Pintu (Learner) retweeted
AI is an ecosystem, not just one technology.
① AI: Intelligent systems
② ML: Learns from data
③ DL: Learns complex patterns
④ GenAI: Creates content
⑤ LLMs: Generates language
⑥ RAG: Retrieves external knowledge
⑦ Agentic AI: Plans, uses tools, and acts autonomously.
#AI
Pintu (Learner) retweeted
Who's gonna tell vibe coders about...
1. SQL Injection
2. XSS
3. CSRF
4. CORS
5. SSRF
6. IDOR
7. Path Traversal
8. Mass Assignment
9. Clickjacking
10. Content Security Policy
11. Security Headers
12. Input Validation
13. Server-Side Authorization
14. Row-Level Security
15. Least Privilege
16. RBAC
17. Secrets Management
18. .env in .gitignore
19. API Key Rotation
20. Secret Scanning
21. Hashing vs Encryption
22. Password Salting
23. bcrypt & Argon2
24. JWT Expiry
25. Refresh Tokens
26. OAuth 2.0
27. OpenID Connect
28. Session Fixation
29. MFA
30. Brute Force Protection
31. Account Enumeration
32. Timing Attacks
33. File Upload Validation
34. Webhook Signature Verification
35. TLS Certificate Expiry
36. HSTS
37. Encryption at Rest
38. Dependency Vulnerabilities
39. Supply Chain Attacks
40. Threat Modeling
41. Indexes
42. EXPLAIN ANALYZE
43. N+1 Queries
44. Full Table Scans
45. Connection Pooling
46. Database Migrations
47. Down Migrations
48. Transactions
49. ACID
50. Isolation Levels
51. Deadlocks
52. Optimistic Locking
53. Pessimistic Locking
54. Normalization
55. Denormalization
56. Foreign Keys
57. Unique Constraints
58. Cascading Deletes
59. Soft Deletes
60. UUIDs vs Auto-Increment
61. Cursor-Based Pagination
62. Full-Text Search
63. Read Replicas
64. Replication Lag
65. Sharding
66. Partitioning
67. Hot Partitions
68. Postgres VACUUM
69. Materialized Views
70. Backups
71. Testing Your Restores
72. Point-in-Time Recovery
73. Change Data Capture
74. Outbox Pattern
75. ORM Lazy Loading
76. CAP Theorem
77. Eventual Consistency
78. Strong Consistency
79. Raft Consensus
80. Leader Election
81. Split Brain
82. Quorums
83. Clock Skew
84. Distributed Locks
85. Consistent Hashing
86. Bloom Filters
87. Two-Phase Commit
88. CQRS
89. Event Sourcing
90. Race Conditions
91. Backpressure
92. Load Shedding
93. Bulkheads
94. Jitter
95. Retry Storms
96. Cascading Failures
97. Thundering Herd
98. Cache Invalidation
99. Cache Hit Ratio
100. TTLs
101. Cache Warming
102. Write-Through vs Write-Back
103. Redis Eviction Policies
104. CDNs
105. Cache-Control Headers
106. ETags
107. Dead Letter Queues
108. Poison Messages
109. At-Least-Once Delivery
110. Exactly-Once Semantics
111. Message Ordering
112. Kafka Consumer Groups
113. Partition Keys
114. Background Jobs
115. Webhook Retries
116. DNS
117. DNS Propagation
118. HTTP Status Codes
119. HTTP Method Semantics
120. Keep-Alive
121. HTTP/2
122. WebSockets
123. Server-Sent Events
124. Long Polling
125. gRPC
126. Protocol Buffers
127. API Versioning
128. OpenAPI Specs
129. Backward Compatibility
130. Request Size Limits
131. Compression
132. Latency vs Throughput
133. Egress Fees
134. VPCs
135. Subnets
136. NAT Gateways
137. Firewalls
138. Security Groups
139. Service Mesh
140. Ingress Controllers
141. Health Checks
142. Liveness vs Readiness Probes
143. Graceful Shutdown
144. Connection Draining
145. Stateless Services
146. Failover
147. Multi-Region
148. Availability Zones
149. Single Points of Failure
150. Disaster Recovery
151. RTO & RPO
152. SLAs
153. SLOs
154. Error Budgets
155. Incident Response
156. On-Call
157. Runbooks
158. Postmortems
159. Chaos Engineering
160. Graceful Degradation
161. Autoscaling
162. Horizontal vs Vertical Scaling
163. Cold Starts
164. Capacity Planning
165. Load Testing
166. Memory Leaks
167. OOM Killer
168. Structured Logging
169. Log Levels
170. Log Rotation
171. Distributed Tracing
172. OpenTelemetry
173. Correlation IDs
174. Metrics Cardinality
175. p99 Latency
176. Alert Fatigue
177. Error Tracking
178. Profiling
179. Flame Graphs
180. Infrastructure as Code
181. Terraform State
182. GitOps
183. Blue-Green Deployments
184. Canary Releases
185. Rollbacks
186. Feature Flags
187. Environment Parity
188. Staging Environments
189. 12-Factor Apps
190. Multi-Stage Builds
191. Non-Root Containers
192. Image Scanning
193. Resource Requests & Limits
194. Pod Disruption Budgets
195. Semantic Versioning
196. Lockfiles
197. Reproducible Builds
198. Branch Protection
Pintu (Learner) retweeted
Holy, DeepSeek 4.1-1017 is roughly on par with Opus 5, significant jump compared to DeepSeek 4.1 Flash regular.
It outperforms GLM5.3 across the board and even GPT-5.6 Sol!
Buy 2 DGX spark and run this baby locally. China is back!
Pintu (Learner) retweeted
this is pure f*cking treasure
REA creator just dropped 20 GitHub repos to build a f*cking reverse engineering studio:
01 / analysis core
02 / mobile & apps
03 / binary & low-level
04 / network & runtime
05 / rebuild & verify
the loop: binary -> REA -> SPEC.md -> rebuild -> oracle -> retry
study the original. ship your own.
Pintu (Learner) retweeted
F*ck YES... I made prompt that reverse-engineer anything without BAN's and rejects
the shift: REA + free model pull out all app's binary code → Opus 5.5 builds everything else the way YOU want
here's 3 step guide:
step 1 → install OpenCode and choose DeepSeek V4.1 or GLM-5.3 flash (both free right now)
step 2 → drop prompt image + your app/file/URL into chat and tell it what to reverse (it start write repo)
step 3 → open repo with full app code in Claude Opus 5.5 and say something like:
"I've shared repo for my project I stopped working on. I want to pick it back up and make it even better with you! Help me continue development"
the result: you can use mechanics of any website/app in your own projects...
Paste it now. Then read article below to master REA:
Pintu (Learner) retweeted
REA + Opus 5.5 is f*cking dangerous...
REA (Reverse Engineer Anything) - this open source MCP lets your AI agent reverse engineer any app, down to the binary
Send this single prompt to Opus 5.5 and reverse-engineer any paid closed-source app
Then save the article below on how to become REA engineer 👇
Pintu (Learner) retweeted
Loot : Fastrack Vyb 6.0 Horizon Men’s Watch at ₹992
Gun-shaped dial, stainless steel strap
(55% off) Regular Price ₹2,205
- ddime.in/h2VH
Pintu (Learner) retweeted
a Google engineer runs his whole day's work in 2 hours instead of 6-8 with this setup
Jev + Claude Opus 5.5
forks go from $110 a day to $4 the moment Jev takes them over
what Jev lifts off Opus:
-> picks which project notes are worth loading
-> hands the trivial steps to a faster worker
-> chooses the recovery path when a tool breaks
-> fires the narrow checks first, saves the full suite for last
Opus stays on the hard reasoning
Jev only picks between options the harness already built and tested
every call lands in about 100 ms, output tokens are free
Jev engineering in one line: the expensive model thinks, the cheap one decides
$106 a day saved and 4 hours of your life back is the number your manager remembers at review
read the paper, then the full Jev guide below
