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Superpowers inserts a highly granular "writing‑plans" step between a finished spec and code generation to translate design into narrow, verifiable actions for agents, eliminating ambiguity, enforcing TDD granularity, and externalizing senior engineers' tacit execution knowledge.
The article explains that the brainstorming skill in Superpowers acts as a gatekeeper, preventing agents from jumping into implementation before the problem is fully defined, by enforcing a structured design process that yields a reviewed spec ready for planning and execution.
The article analyses the Superpowers repository, contrasting it with gstack and showing how Superpowers tightens AI agents' behavior by embedding classic engineering discipline—step‑by‑step planning, testing, verification and review—into the development pipeline rather than merely expanding the agents' capabilities.
Anthropic’s article dissects a three‑role harness—planner, generator, evaluator—for building long‑running AI applications, explaining how structured specs, sprint contracts, iterative evaluation, and context management transform a single model into a reliable software‑engineering pipeline, with concrete front‑end and full‑stack case studies.
The article analyses why traditional code‑search techniques struggle with massive monorepos, explores classic and modern indexing methods—including inverted indexes, trigram, suffix arrays, probabilistic masks, and sparse n‑grams—and explains how Cursor’s locally‑executed, memory‑efficient design delivers instant, fresh regex search for AI agents.
This article explains why explicit boundaries are crucial when using AI agents in production, introduces the gstack safety skills (/careful, /freeze, /guard, /unfreeze, /gstack-upgrade), outlines their purpose, suitable scenarios, common pitfalls, and provides practical guidance for selecting and applying each skill effectively.
The article explains why the last mile of software delivery—merging, testing, changelog, version bump, documentation sync, and retrospection—is often the bottleneck, and introduces three automated skills (/ship, /document-release, /retro) that institutionalize these tasks to create a closed‑loop workflow.
The article explains that the most dangerous moment in development is when you think the code is finished, and introduces the /review and /investigate skills to catch structural risks and root‑cause issues before merging, especially in the AI‑driven era.
This article breaks down gstack's four pre‑implementation review skills—/plan-ceo-review, /plan-eng-review, /plan-design-review, and /design-consultation—explaining their distinct focus, when each should be used, common pitfalls, and the recommended sequencing to improve product planning before coding.
The article explains why the /office-hours skill should be used before any implementation, detailing how it forces clear problem definition, challenges premises, generates concrete alternatives, and produces a design document that guides subsequent planning and development stages.
