אני מנסה לדחוס 20 שנה (10 הראשונות לא נחשבות) של ארכיטקטורה ו-system design לקורס של 20+ שעות (38 מודולים של 20-30 דקות כ״א). זה חומר של סמסטרים שלמים, אז אתמקד רק ב-high-level כדי לתת טעימה מה זה אומר/אמר להיות מתכנת פעם. כל התהליך זולל המון טוקנים (3 מודלי SOTA... שמבקרים אחד את השני, בהתבסס על סיליבוס, דגשים ומטלות שהכנתי לכל מודול), עוד LLM שעושה את זה ״לא משעמם״ עם HyperFrames וגם מנוע TTS להקראה בשתי שפות. מוזמנים להשפיע על הסיליבוס (מצ״ב), לתת דגשים לכל מודול וגם להירשם למייל שיהיה מוכן:show more

01 The Illusion of "It Works" Definition of production-grade software, reliability, availability, performance, cost, the request lifecycle, environments, hidden infrastructure layers, failure categories, the iceberg model.

02 Thinking in Systems & State Systems thinking, emergent behavior, state and where data lives, URL vs memory vs cookie vs database state, rendering models, hydration, stateless vs stateful, horizontal scaling.

03 Decisions, Complexity & Abstraction Decision frameworks, tradeoffs under uncertainty, essential vs accidental complexity, abstraction and leaky abstractions, technical debt, Twelve-Factor methodology, reading unfamiliar systems.

04 Version Control Git internals, the commit graph (DAG), the three-tree architecture, staging, branching, merging, rebasing, recovery and reflog, commit hygiene, collaborative workflows.

05 The AI-Native Engineering Workflow Specification writing, prompt engineering, context-window management, AI output review, failure modes, naming, readability, code organization, type safety, linting.

06 How Code Runs Compilation and interpretation, processes and memory, the stack and heap, garbage collection, execution models, threads vs event loops, I/O, concurrency, async/await, OOM.

07 Complexity & Data Structures Big-O notation, time and space complexity, scaling behavior, arrays, hash maps, sets, trees, queues, choosing the right data structure, nested-loop and N+1 smells.

08 Frontend Architecture Component model, unidirectional data flow, client-side state management, rendering and reconciliation, client-side routing, forms and validation, accessibility, styling, bundle size.

09 Dependency Management The dependency graph, package managers, semantic versioning, lock files, transitive dependencies, version conflicts, supply chain attacks, tree shaking, updates, monorepos and workspaces.

10 Database Fundamentals Data-first thinking, data modeling, entities and relationships, the relational model, normalization and denormalization, NoSQL (document, key-value, graph, column, time-series), schema design, ORMs, database selection.

11 SQL & Query Thinking Declarative querying, set-based thinking, joins, aggregation, indexes, execution plans, query optimization, transactions, isolation levels, the N+1 problem, CTEs, window functions, views.

12 Data at Scale Connection pooling, zero-downtime migrations, concurrent writes, locking, read replicas, sharding, full-text search, replication topologies, backups and recovery, CAP theorem.

13 API Design as Contracts APIs as contracts, REST, GraphQL, RPC, URL and payload design, pagination, versioning, error formats, idempotency, OpenAPI specification, documentation.

14 Networking Fundamentals IP addressing, TCP/UDP, DNS, HTTP, TLS/SSL, CORS and same-origin policy, proxies and load balancers, CDNs, firewalls, latency and bandwidth.

15 Real-Time & Event-Driven Patterns WebSockets, Server-Sent Events, webhooks, polling, persistent connections, reconnection, fan-out, event-driven architecture, event sourcing, CQRS, pub/sub.

16 Security Threat modeling, OWASP Top 10, injection, XSS, CSRF, authentication, authorization, hashing and encryption, session and token security (JWT), secrets management, defense in depth.

17 Error Handling & Resilience Failure taxonomy, the happy-path fallacy, try/catch patterns, timeouts, retries and backoff, circuit breakers, bulkheads, graceful degradation, fault tolerance.

18 Testing Test value and confidence, the testing pyramid, unit/integration/end-to-end tests, test doubles (mocks, stubs, fakes, spies), property-based testing, contract testing, TDD, flaky tests, coverage vs confidence.

19 Observability - Logs, Metrics & Traces Logs, metrics, distributed tracing, instrumentation, dashboards, alerting, SLOs and SLIs, error budgets, sampling, retention, cost management.

20 Containers Images and layers, immutability, ephemeral filesystems, namespaces and cgroups, container vs VM, container networking, volumes, resource limits, root and security, multi-service composition.

21 Cloud Infrastructure Shared responsibility model, compute spectrum (VMs, containers, serverless), block/object/file storage, VPCs and subnets, IAM, regions and availability zones, managed services, edge computing, cost, Infrastructure as Code.

22 CI/CD Continuous integration, continuous deployment, pipeline stages, build and test automation, secret injection, artifacts, deployment strategies (blue-green, canary, rolling), rollbacks, pipeline security.

23 Architecture Patterns, Monoliths & Services Monoliths, microservices, modular monoliths, service-oriented architecture, Conway's Law, Domain-Driven Design, service boundaries, data ownership, migration patterns.

24 Asynchronous Processing & Queues Sync vs async work, message queues, event streams, producers and consumers, delivery guarantees, idempotency, background jobs, scheduling, the Saga pattern, transactional outbox, dead letter queues, backpressure.

25 Caching Strategies Cache layers (browser, CDN, application, database), cache patterns, invalidation, eviction policies (LRU, TTL), stampedes and cold starts, distributed caching, edge caching, what not to cache.

26 Performance, Profiling & Scaling Measure-first mindset, profiling, bottleneck analysis, load testing, vertical and horizontal scaling, traffic management, global distribution, performance as economics.

27 Distributed Systems Fallacies of distributed computing, partial failure, clocks and ordering, impossibility results (CAP, FLP), consensus, consistency models, replication, quorums, idempotency, failure detection.

28 Payments, Subscriptions & Compliance Card network flow, processors and acquirers, PCI DSS, tokenization, subscription billing state machines, chargebacks, fraud, tax, currency, reconciliation.

29 Business Metrics & Product Analytics Event tracking, the event lifecycle, identity resolution, data pipelines, funnels, retention, cohorts, A/B testing, north-star metrics, privacy and governance.

30 User Acquisition, Ads & Attribution Programmatic advertising, real-time bidding, attribution models, conversion tracking, deep linking, technical SEO, owned channels (email, push, SMS), deliverability, click fraud detection.

31 Machine Learning Fundamentals Supervised vs unsupervised learning, regression, classification, clustering, train/validation/test splits, overfitting, bias-variance, precision and recall, evaluation metrics, when not to use ML.

32 Adding Intelligence to Your App LLM APIs vs self-hosted models, model selection, prompt engineering, embeddings, vector search, retrieval-augmented generation (RAG), chunking, function calling, token economics.

33 Building Production AI Features AI UX patterns, streaming, prompt versioning, conversation memory, guardrails, hallucination defense, prompt injection, agentic systems, human-in-the-loop, evaluation, cost and latency at scale.

34 Debugging as a Discipline Scientific debugging method, the debugging loop, reading logs and errors, search strategies, debugging across layers (client, network, data, containers, production), memory and resource bugs, concurrency bugs.

35 Production Readiness & Operations Pre-launch reviews, incident response, on-call, maintenance, compliance, cost management, capacity planning, runbooks, ADRs, postmortems, organizational memory.

36 Mobile Mental Models Resource constraints, battery, process lifecycle and suspension, permissions, sandboxing, offline-first, startup time, the app store review gate.

37 Mobile Data & Networking Mobile network reality, local storage primitives, offline-first architecture, sync and conflict resolution, API and serialization optimization, media pipelines, background work, on-device data security.

38 Mobile Release & Distribution Code signing, beta testing, store review, staged rollouts, OTA updates, version fragmentation, crash reporting, symbolication, release experimentation.

השאלה אם אתה יכול לעשות לכל זה speech to text ואז אני אוכל להשתמש בזה כskill ו-code reviewer

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