Honest technical deep dive into the persistent memory stack I combine daily in my projects: opencode-supermemory for auto-compact, basic-memory as main memory with Markdown + graph, and forgetful as procedural skills layer. With real configuration examples for Claude Code, Codex,
Deep dive into GSD Core (formerly Get Shit Done): 33 agents, wave execution, 200K fresh context per subagent, and the Discuss→Plan→Execute→Verify→Ship phase loop. How to install it, when to use it, and when not to.
A complete guide to Spec Kitty — the CLI that turns product intent into a repeatable agent workflow using git worktrees, a 9-lane kanban system, and repository-native mission artifacts.
How to apply OpenSpec in Android and Kotlin projects to keep AI agents aligned with architecture, with practical examples of change proposals, task validation, and living files.
A comprehensive technical deep dive into the Superpowers methodology, exploring its subagent orchestration, strict TDD enforcement, and how it transforms AI from a chaotic coder into a disciplined engineering partner.
A deep dive comparison of two distinct approaches to AI software development: the skill-based methodology of Superpowers and the artifact-guided workflow of OpenSpec.
A deep dive into three tools that solve context rot and keep AI coding agents focused: Beads (git-native DAG issue tracker), LeanSpec (minimal spec-driven workflow), and Taskmaster (PRD-to-task orchestration). Real commands, real workflows, real indie dev perspective.
A thorough analysis of the three leading Spec-Driven Development frameworks: the architectural contracts of GitHub Spec Kit, the change-proposal agility of OpenSpec, and the multi-agent orchestration of BMAD-METHOD.
How the First Principles Framework (FPF) and Quint Code enforce structured reasoning on AI agents. The Abduction–Deduction–Induction cycle applied to engineering decisions, auditable decision contracts, and why vibe-coded AI is not enough.
A deep dive into IDD, Lean SDD, BEADS Workflow, Agent OS, and the Dark Factory concept: emerging methodologies that challenge conventional development flows and raise the abstraction level in the age of autonomous AI.
A senior engineer's guide to SDD for agentic AI: from vibe coding to structured, reproducible development using GitHub Spec Kit, BMAD Method, OpenSpec, SPARC, and more.
Learn the fundamentals of GitHub Actions to automate your Android CI/CD workflows, from running tests to automated deployment on Google Play Store.
Master the art of documenting Android projects. From KDoc to GitHub Actions, ensure your code is maintainable and scalable.
Transform Obsidian into a Knowledge IDE. Learn to integrate Git, Dataview, Architecture Diagrams, and automated logs to boost your development career.
Real Android development cases where delegating to specialized agents beats any standard AI chat. Security, Performance, and UX.
Introducing the Agents.md standard. A file convention to context-load AI agents with project architecture, coding rules, and domain knowledge.
