If you want to get good at AI engineering (in 2026), learn these concepts: 1 LLM Evals Explained ↳ newsletter.systemdesign.one/… 2 Design Knowledge Q & A System ↳ newsletter.systemdesign.one/… 3 How OpenClaw Works ↳ newsletter.systemdesign.one/… 4 AI Agent Workflow ↳ newsletter.systemdesign.one/… 5 How MCP Works ↳ newsletter.systemdesign.one/… 6 Design AI Chat Assistant ↳ newsletter.systemdesign.one/… 7 How RAG Works ↳ newsletter.systemdesign.one/… 8 Agentic Patterns Explained ↳ newsletter.systemdesign.one/… 9 AI Coding Workflow 101 ↳ newsletter.systemdesign.one/… 10 Machine Learning System Design 101 ↳ newsletter.systemdesign.one/… 11 Multi-Agent Architecture Explained ↳ newsletter.systemdesign.one/… 12 How AI Agents Work ↳ newsletter.systemdesign.one/… 13 How Vector Databases Work ↳ newsletter.systemdesign.one/… 14 AI Agents: Memory, State & Consistency ↳ newsletter.systemdesign.one/… 15 AI Agents Design ↳ newsletter.systemdesign.one/… 16 Context Engineering 101 ↳ newsletter.systemdesign.one/… 17 What is Reinforcement Learning ↳ newsletter.systemdesign.one/… 18 LLM Concepts - A Deep Dive ↳ newsletter.systemdesign.one/… What else should make this list? === 👋 PS - Want my System Design Playbook (for free)? Join my newsletter with 201K software engineers now: → newsletter.systemdesign.one/… === 💾 Save & RT to help others get good at AI engineering. 👤 Follow @systemdesignone turn on notifications.

TECH TWITTER ONLY Which Android phone would you recommend buying in 2026?

10 System Design Concepts Explained, Simply 1 Scalability → Elastic Band 2 Load Balancer → Traffic Cop 3 Cache → Refrigerator 4 Sharding → Pizza Slices 5 Replication → Photocopier 6 Message Queue → Post Office 7 CDN → Delivery Truck 8 Rate Limiter → Bouncer 9 Monitoring → Security Camera 10 Failover → Backup Generator What else should make this list?

If you want to get good at AI engineering (in 2026), learn these concepts: 1 LLM Evals Explained ↳ newsletter.systemdesign.one/… 2 Design Knowledge Q & A System ↳ newsletter.systemdesign.one/… 3 How OpenClaw Works ↳ newsletter.systemdesign.one/… 4 AI Agent Workflow ↳ newsletter.systemdesign.one/… 5 How MCP Works ↳ newsletter.systemdesign.one/… 6 Design AI Chat Assistant ↳ newsletter.systemdesign.one/… 7 How RAG Works ↳ newsletter.systemdesign.one/… 8 Agentic Patterns Explained ↳ newsletter.systemdesign.one/… 9 AI Coding Workflow 101 ↳ newsletter.systemdesign.one/… 10 Machine Learning System Design 101 ↳ newsletter.systemdesign.one/… 11 Multi-Agent Architecture Explained ↳ newsletter.systemdesign.one/… 12 How AI Agents Work ↳ newsletter.systemdesign.one/… 13 How Vector Databases Work ↳ newsletter.systemdesign.one/… 14 AI Agents: Memory, State & Consistency ↳ newsletter.systemdesign.one/… 15 AI Agents Design ↳ newsletter.systemdesign.one/… 16 Context Engineering 101 ↳ newsletter.systemdesign.one/… 17 What is Reinforcement Learning ↳ newsletter.systemdesign.one/… 18 LLM Concepts - A Deep Dive ↳ newsletter.systemdesign.one/… What else should make this list? === 👋 PS - Want my System Design Playbook (for free)? Join my newsletter with 201K software engineers now: → newsletter.systemdesign.one/… === 💾 Save & RT to help others get good at AI engineering. 👤 Follow @systemdesignone turn on notifications.

SOFTWARE ENGINEERS ONLY Why is Linux Desktop still not the most popular option in 2026?

10 AI agent skills that'll make you a 10x software engineer: 1 Commit message writer ↳ reads your staged diff and writes a clean commit message 2 Pull request reviewer ↳ scans diff for bugs, risky logic, and missing tests, then tells if it's safe to merge 3 Pull request description writer ↳ turns your branch into a full PR writeup with motivation & test notes 4 Standup post ↳ pulls your tickets, commits & Slack messages into a standup update 5 Test plan generator ↳ creates unit, edge case & e2e test ideas for any feature or bug 6 CI failure triage ↳ reads red build, finds real failure, and skips flaky noise 7 Release coordinator ↳ assembles release notes, risk flags & a rollback checklist from merged PRs 8 Bug triage assistant ↳ extracts repro steps, severity & potential owner from a messy bug report 9 Security triage assistant ↳ ranks security alerts by what actually needs fixing first 10 Incident postmortem writer ↳ builds timeline, impact & root-cause draft from incident logs An Agent Skill is a reusable playbook for an AI agent. Think of it as a saved workflow that tells the agent when to run, what steps to follow, which files/tools to use & what output format to return. #HyperagentPartner

If you want to get dangerously good at system design, learn these concepts: 1 Scalability 2 Availability 3 Reliability 4 Latency 5 Throughput 6 Database 7 SQL vs NoSQL 8 Load Balancing 9 Caching 10 Cache Invalidation 11 API Design 12 REST 13 GraphQL 14 gRPC 15 Authentication 16 Fault Tolerance 17 High Availability 18 CAP Theorem 19 Consistency Models 20 Replication 21 Erasure Coding 22 Consensus 23 Leader Election 24 Secrets Management 25 RBAC 26 Sharding 27 Indexing 28 Denormalization 29 ACID 30 BASE 31 Event-Driven 32 Message Queue 33 Pub/Sub 34 Sync vs Async 35 Idempotency 36 Bulkhead 37 Retry Logic 38 Timeout 39 Service Discovery 40 API Gateway 41 Blue-Green Deployment 42 Canary Release 43 Feature Flags 44 Observability 45 Logging 46 Correlation ID 47 Monitoring 48 Alerting 49 Full-Text Search 50 Time Series (...and many more!) What else should make this list? === 👋 PS - Want a simple breakdown of each concept? Read right now in my newsletter: → Part 1: newsletter.systemdesign.one/… → Part 2: newsletter.systemdesign.one/… → Part 3: newsletter.systemdesign.one/… === 💾 Save & RT to help others get good at system design. 👤 Follow @systemdesignone turn on notifications.

How to fix your entire production errors in 1 day: >Point an AI agent at your production environment. >Cluster error logs into issues. >Investigate each issue using production context. >Determine the correct resolution. >Reclassify non-actionable failures to appropriate log severity. >Identify & route customer-side failures. >Fix prompt & schema mismatches. >Correlate errors with deploy timelines. >Trace requests across services. >Fix service contracts that create retry storms. >Generate PRs and tests for code issues. >Route changes to the owning engineer. >Verify fixes in production after deployment. >Reopen issues when the same failure class returns. Reduce production error volume significantly.

A pic of someone delivering AI slop to GitHub HQ

If you want to get ahead of 99% of software engineers, then read these 12 books: 1 Designing Data-Intensive Applications 2 Clean Code 3 The Pragmatic Programmer 4 The Mythical Man-Month 5 Introduction to Algorithms 6 Code Complete 7 The C Programming Language 8 Refactoring 9 The Art of Computer Programming 10 Structure and Interpretation of Computer Programs 11 Peopleware 12 Design Patterns What else should make this list?