Lesson 5.5: Package, Install & Verify Claude Code Skill Triggering #claude #claudecode #package

Lesson 5.4: Build a Claude Skill Folder Structure with Python + Git Dashboard | standup-formatter

Lesson 5.3: Progressive Disclosure for Claude Skills — Split SKILL.md & Cut Token Cost #claude

Lesson 5.2 : Write Bad, Mediocre & Optimised SKILL.md Descriptions | Claude Skills Trigger Scoring

Lesson 5.1: SKILL.md Layer Anatomy — Frontmatter, Body & Bundled Resources Explained #claude

Lesson 4.5: Test & Debug MCP Tools with MCP Inspector | ClaudeForge Dashboard #claude #test #mcp

Build a Custom MCP Server | Claude Code Lesson 4.4 — find_todos, Token Count & Git Diff Tools

ClaudeForge Lesson 4.3 — Monitor Claude Code Tool Calls in Real Time #claude #claudecode #mcp

Lesson 4.2: Connect Filesystem MCP Server to Claude Code | Live Dashboard & Tool Call Metric #claude

Lesson 4.1: Master MCP Config Files & the claude mcp CLI#claude #mcp #config

Lesson 3.5: GitHub Actions CI — Automated PR Review with Claude Code CLI #claude

Day 90: Distributed Leader Election | Build a Leader Election Service in Python #dsa #leader

Day 89: Shard Explorer — Smart Sharding Strategies (Hash vs Entity Group) | System Design #dsa

Day 88: Build a Production-Ready API SDK in Python | Retries, Auth & Live Dashboard #dsa #python

Day 87: Async PDF Generator — Redis Queue, Workers & Live Dashboard #datastructures #dsa #pdf

Day 86: Build an A/B Testing System in Python | Consistent Hashing, Live Metrics Dashboard #dsa

Day 85 - Rail Performance Lab | In-Memory Cache, Latency & Background Workers in Go

Day 84: Deterministic QA - Mastering Replayable Systems with Idempotency & Event Sourcing #dsa

Day 83: The Unblinking Eye – Architecting Tamper-Proof Audit Trails with Merkle Trees #dsa #audit

Day 82: Embracing the Storm - Building Resilient Systems with Chaos Engineering #dsa #chaos

Day 81: Error Budgets – The Innovation Token for Resilient Systems #dsa #error

Day 80: SLO Definition – The Architect's North Star #datastructures #slo #definitions #dsa

Day 79: Tracing – The Invisible Thread Through Your Distributed System #datastructures #tracing

Day 78: Observability – Beyond Just "Monitoring" #datastructures #observability #dsa

Lesson 3.4: Multi-Step Self-Healing Pipeline: Write, Run, Fix, Repeat #claude #claudeai #multistep

Day 77: AIOps - Taming the Chaos with Algorithmic Intelligence #datastructures #aiops #dsa

Day 77: Multi-Region Serving: Reducing Latency for a Global User Base #mlops #multi #region

Day 76: Edge Deployment - The Unseen Architects of Ultra-Low Latency #datastructures #edge

Day 75: CQRS Pattern – Unlocking Scalability and Specialized Performance #dsa #cqrs #patterns

Day 76: Multi-Model Gateways: Routing Requests across Diverse Serving Containers #mlops #multi

Day 75: Automated Rollback: Triggering Version Reversion based on Real-Time Error Rates #mlops

Day 74: Event Sourcing - The Ledger of Intent in Ultra-Scale Systems #dsa #event #sourcing

Day 74: Traffic Shifting with Service Mesh (Istio) and KServe – The Art of the Controlled Rollout

Day 73: Canary Rollouts: Shifting 1-5% of Traffic to New Model Candidates #mlops #canary

Day 72: Implementing Shadow Mode: Capturing Predictions without impacting Users

Day 73: Hybrid Cloud - Bridging Worlds, Not Just Networks #hybrid #cloud #bridging

Day 72: Module Review - The Guardian of Scale: Mastering Health Checks and Dynamic Load Balancing

Batch Type Hints with Claude CLI (Idempotent Bash Automation) | Lesson 3.3 #claude #bashscripting

Day 71 : The Progression of Safety: From Evaluation to Shadow Mode to Production #mlops

Day 71: Geometry Primitives – Architecting Spatial Intelligence at Hyperscale #dsa #geometry

Day 70: Cost Optimization: Maximizing RPS per GPU Dollar #mlops #cost #optimization #rps #gpu

Day 69: Benchmarking: Maintaining Flat P99 Latency Curves under Heavy Load #mlops #benchmarking

Day 70: Suffix Arrays – The Unsung Hero of Ultra-Scale Text Processing #datastructures #dsa #suffix

Day 69: Bit Manipulation - The Silent Enabler of Hyper-Scale Systems #dsa #datastructures #bit

Day 68: Priority Queues – The Unsung Hero of System Responsiveness #datastructures #priority #queues

Day 68: Memory Leak Prevention in Long-Running Python Inference Services #mlops #memory #leak

Day 67: Managing "Cold Starts": Predictive Scaling and Warm Instance Pools #mlops #cold #starts

Day 67: Dijkstra at Scale – Navigating the World's Largest Graphs #dsa #dijkstra #datastructures

Day 66: Graph Routing - The Unseen Orchestrator of Ultra-Scale Systems #graph #routing

Day 66: Paged Attention and KV Caching: Scaling LLM Inference to Millions of Tokens #mlops #paged

Lesson 3.2 — Piping Shell Data into Claude: git diffs, logs, test output #claude #ai #piping #shell

Day 65: Precision Engineering: Quantization (FP16, INT8) and its Impact on Scale #mlops #precision

Day 65: Backtracking Logic – Navigating the Maze of System Configurations #ds #backtracking

Day 64: Model Compilers: Using TensorRT and ONNX Runtime for Hardware Acceleration #mlops #model

Day 63: Batch Scoring Pipelines: High-Throughput Processing for Millions of Records #batch #mlops

Day 64: Fenwick Trees – The Unsung Hero of Real-time Aggregations #datastructures #fenwick #trees

Day 63: Segment Trees - The Unsung Hero of Real-time Data Aggregation #dsa #datastructures #trees

Lesson 3.1 — --print Flag and Single-Shot Mode: The Automation Foundation #claude #claudecode

Day 62: Stress Testing – Unmasking Your System's True Breaking Point #datastructures #dsa

Day 60: Static Analysis - The Silent Guardian of Ultra-Scale Systems #datastructures #dsa #static