- Why Elixir Is Built for AI-Assisted DevelopmentPredictable Code Gives AI Agents Less Room to DriftWhy Elixir's functional core, process isolation, OTP recovery, and runtime metadata make it a strong language for AI-assisted development without losing architecture decisions.AI Elixir Development Tools Best Practices
- Three Ways to Consume CodeWhen to Use require, import, and alias in ElixirElixir has three module directives for consuming code: require, import, and alias. Learn what each one means, when to use it, and how each choice affects readability.Elixir Functional Programming Macros Modules
- Managing the Conveyor Belt: Context Windows and Layered Elixir ArchitectureWhy Long AI Sessions Need Fresh Context and Clear Ownership BoundariesLearn how Bruce Tate manages Claude context windows with compacting, clearing, and priming while preserving layered Elixir architecture and one source of truth per layer.AI Elixir Development Tools Architecture Code Quality
- Design for AI: Why Pure Functions Make Better AI PartnersHow a Functional Core Makes Claude Cheaper and More ReliableBruce Tate shows why pure functions and the CRC pattern (construct, reduce, convert) don't just help humans reason about code — they help Claude generate, verify, and stay correct with fewer tokens.AI Elixir Functional Programming Architecture Best Practices
- Your Code Should Explain ItselfHow Module Attributes Turn Elixir Documentation Into Testable CodeElixir documentation is not a stale comment beside your code. Learn how module attributes, IEx help, ExDoc, and doctests keep explanations close to the behavior they describe.Elixir Functional Programming Documentation Doctests
- The Architect in the Loop: Critical Planning and the Limits of VibingWhy AI Plans Need Elixir Judgment Before ImplementationAI can produce a convincing architecture plan, but production systems need structured review. Bruce Tate shows how an Elixir architect catches security and design mistakes before implementation begins.AI Elixir Development Tools Best Practices Architecture
- Mix Tasks Are Just ElixirHow Mix Turns Plain Modules Into First-Class Project ToolsMix tasks are not separate from your Elixir application. They are ordinary modules that implement Mix.Task, giving you a clean boundary around reusable project tooling.Elixir Functional Programming Mix Tooling
- Building in LayersWhy Elixir Programs Stay Maintainable When the Core, Boundary, and API Each Do One JobLearn how Elixir programs stay easier to test and change by separating pure logic, IO boundaries, and API coordination into distinct layers.Elixir Functional Programming Architecture Software Design
- Prompts That Write Prompts: Meta Workflow GenerationTurn Repeatable AI Development Workflows into Versioned Project InfrastructureLearn how meta workflow generation turns prompts into reusable project commands, making AI development workflows durable, repeatable, and reviewable.AI Elixir Development Tools Best Practices Workflows
- Recursion as a Design PatternHow Accumulators Turn Recursive List Processing into Clear, Stack-Safe ElixirLearn how recursion works as a natural Elixir design pattern, why accumulators make list processing stack-safe, and how this mental model leads directly to Enum.reduce.Elixir Functional Programming Recursion Lists
- Your AI Tooling Has a Home: Project vs. Global InfrastructureWhy Team-Ready AI Workflows Belong with the Code They GovernLearn when AI tooling should live globally versus in the project so shared workflows stay versioned, visible, and aligned with the codebase.AI Elixir Development Tools Best Practices Workflows
- Lists Are Not ArraysWhy Elixir Lists Reward Head-First Thinking Instead of Index-Based AccessLearn why Elixir lists are linked structures, how `[head | tail]` reveals their shape, and why building left then reversing once leads to clearer, faster code.Elixir Functional Programming Lists Data Structures
- Building Your AI Toolchain: Rules, Skills, Sub-Agents, and Slash CommandsHow to Layer AI Execution with Reusable Workflows Instead of Repeating PromptsLearn when to use rules, skills, sub-agents, and slash commands so your AI workflow scales with structured oversight instead of context-heavy repetition.AI Elixir Development Tools Best Practices Workflows
- Control Flow: Truth, Conditions, and Pattern-Based DecisionsHow to Use if, cond, and case Without Runtime SurprisesLearn how Elixir control flow works with expressions, truthy checks, and pattern matching so you can choose the right tool and avoid hidden runtime failures.Elixir Functional Programming Control Flow Pattern Matching
- Stop Repeating Yourself: How to Architect AI Workflows Like CodeApply DRY Thinking to AI Instructions with Axioms, Roles, and TasksIf you keep retyping the same AI instructions, you do not have a workflow. Learn a practical three-layer structure to keep coding agents consistent.AI Elixir Development Tools Best Practices Workflows
- When the Shape Is the Contract: Tuples, Tagged Tuples, and KeywordsHow Elixir Data Shapes Turn Ambiguous Returns into Explicit ContractsLearn when to use tuples, tagged tuples, and keyword lists in Elixir, and why designing return values as contracts leads to clearer, more maintainable code.Elixir Functional Programming Data Structures Pattern Matching
- The Morning After: What That 30-Minute Phoenix App Actually CostsWhy Working Code and Maintainable Architecture Are Not the Same ThingA fast Phoenix LiveView build can look impressive, but hidden structural debt appears when you inspect what AI generated under speed pressure.AI Elixir Development Tools Best Practices
- Scope (Visibility and Isolation)Why Inner Rebinding Doesn't Change Outer Values in ElixirLearn how Elixir scope boundaries reinforce immutability, prevent hidden state changes, and make code behavior predictable.Elixir Functional Programming Immutability Language Fundamentals
- The Illusion of Speed: When AI Builds a Phoenix App in 30 MinutesWhy Vibe Coding Feels Fast and Becomes a Maintenance TrapA 30‑minute Phoenix LiveView demo looks magical – until you see how the yes loop creates hidden scope and long‑term maintenance cost.AI Elixir Development Tools Best Practices
- Pattern Matching: Matching, Not AssigningWhy Elixir Uses Shape Selection Instead of Variable AssignmentPattern matching in Elixir is about selecting structure, not storing values. Learn destructuring, pinning, and how match failure guides control flow.Elixir Functional Programming Pattern Matching Language Fundamentals
- The Editor Is the AgentWhy Checkpoint-Based AI Workflows Create ControlLearn the Ask → Plan → Agent workflow, a two-level safety net, and context discipline for checkpoint-based AI coding in Elixir.AI Elixir Development Tools Best Practices Workflows
- Learning Elixir? Data Shape Is a Design DecisionChoosing the Right Data Structure for Intent and ClarityIn Elixir, data shape determines how code behaves and reads. Learn when to use atoms, tuples, lists, and maps to make your intent explicit.Elixir Data Structures Design Functional Programming
- Learning Elixir? Function Heads Are Chosen by ShapeWhy Elixir Picks a Clause Before Any Code RunsElixir selects a function head by pattern matching the shape of your arguments, which is why the language feels declarative before you touch OTP.Elixir Pattern Matching Functions Functional Programming
- Stop Prompting. Start Anchoring.Why Decisions Should Live in Code, Not ConversationsThe model didn't forget your architecture—it just never lived anywhere durable. Learn how to anchor decisions in structure instead of prompts.AI Elixir Development Tools Best Practices
- Variables Don't Change, They Get ReboundWhy Elixir Bindings Make Concurrent Code PredictableVariables aren't containers you mutate, they're names that point at values. Learn why this distinction matters more than immutability alone.Elixir Immutability Bindings Concurrency
- Stop Writing Statements, Start Writing ExpressionsWhy Everything in Elixir Returns a Value (and What That Changes)In Elixir, if statements aren't control flow—they're expressions that return values. Learn how this eliminates state management and changes how you read code.Elixir Functional Programming Expressions Design Patterns
- Learning Elixir? Align Your Mental ModelWhy Experienced Developers Find Elixir Harder (and What to Do About It)The syntax is easy. The mental model is hard. Learn the one shift that makes Elixir stop feeling sideways and start feeling natural.Elixir Learning Functional Programming Mental Models
- Which AI Agent Should You Actually Use?A Simple Framework for Choosing the Right Tool for the JobStop comparing features and benchmarks. Learn to match AI agents to your workflow with a practical decide-vs-execute rule you can use today.AI Elixir Development Tools Best Practices
- Why AI "Forgets" (and How to Work With It Instead of Fighting It)A Mental Model for Predictable AI Collaboration in ElixirWhy AI agents lose context, how the conveyor belt model explains it, and a practical habit Elixir developers can use immediately to get better results.AI Elixir Development Tools Best Practices
- How I Work With AI Coding Agents in Elixir (And Why "Vibing" Is a Trap)A Practical Framework for AI-Augmented Elixir DevelopmentExplore the five modes of collaborating with AI coding agents in Elixir — and why 'vibing' creates fragile systems.AI Elixir Development Tools Best Practices
- Why Is This Hard?Identifying Technical Debt Signals in Elixir Development TeamsLearn to recognize when complexity is hindering your Elixir development team's productivity, with practical frameworks for addressing technical debt before it becomes critical.Elixir Technical Debt Team Management Best Practices
- What Will It Cost to Carry and Remove This Dependency?Strategic Architecture for Elixir TeamsLearn how dependency analysis transforms Elixir development decisions, with practical frameworks for evaluating long-term costs in Phoenix applications and OTP systems.Elixir Architecture Dependencies Best Practices
- What Are We Afraid Of?Building Psychological Safety in Elixir Development TeamsDiscover how one simple question transforms Elixir development teams by creating psychological safety, enabling better collaboration, and preventing costly technical mistakes.Elixir Team Management Culture Best Practices
- How Will We Know It Works?Building Measurable Elixir Systems That Deliver Business ValueLearn how asking 'How will we know it works?' transforms Elixir development from feature delivery to business impact, with practical observability strategies.Elixir Team Management Observability Best Practices
- Essential Questions Every Elixir Development Team Should AskA Senior Consultant's FrameworkLearn the 3 critical questions that transform Elixir development teams from code producers to business problem solvers, based on 20+ years of consulting experience.Elixir Team Management Architecture Best Practices