Results for “software-development-lifecycle”

The entire workflow structure to follow during development.

Introduces Prompt-Driven Development (PDD), a methodology that uses version-controlled natural-language prompts as the source of truth for generating code, tests, and documentation, with a practical adoption roadmap.

Behavior-driven development: Discovery → Formulation → Automation. Use when the user wants to build features or fix bugs via Gherkin scenarios and the BDD lifecycle, or mentions BDD/Gherkin/Executable Specifications. Delegates test implementation to /mattpocock:tdd.

Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.

Enforces system design, project structure, dependency management, error handling, testing, and documentation standards at principal-engineer level.

Manage software complexity through deep modules, information hiding, and strategic programming, with a scoring framework for evaluating design quality.

Automates the entire software development lifecycle from PRD to production with zero human intervention, using multi-agent orchestration and memory systems.

Full dependency lifecycle composite — audit known vulnerabilities, triage by severity and breaking-change risk, upgrade targeted packages, verify tests pass, ship PR. Use monthly, before releases, or when dependency alerts are stacking. Never do a blanket upgrade; always triage first.

Routes software engineering tasks across backend, frontend, AI/ML, mobile, DevOps, and infrastructure sub-skills, applying security and ethics gates.

Design product-led growth loops, activation paths, and expansion mechanics for a software product. Use when the team needs onboarding-to-value planning, sharing or collaboration loops, retention hooks, or realistic post-launch growth motions tied to product usage.

Turns a brief product idea into working, verified code by orchestrating requirements analysis, planning, parallel implementation, QA, and multi-perspective validation.

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Design and implement clear, modular, resilient software and create executor-grade implementation plans with explicit scope, drift checks, verification gates, tests, STOP conditions, dependencies, and delegated-work review. Use for development, refactoring, architecture, implementation planning, safe migrations, handoffs to another engineer or agent, or verifying delegated code changes.

Use when developing in packages/agent-core-v2 (the DI × Scope agent engine) — adding or modifying a domain Service, choosing a LifecycleScope, wiring DI dependencies, splitting a domain across scopes, owning or migrating a config section, gating behavior behind an experimental flag, raising coded errors, working on the permission system, writing DI/Scope tests, porting business logic from agent-core (v1) to v2, triaging a main-branch commit against v2, or exposing a v2 domain over server-v2 while keeping the /api/v1 wire contract compatible with released clients. Self-contained guide organized by development stage (orient → design → implement → test → verify) plus align workflows for v1→v2 migration, main-branch commit triage, and server-v2 wire exposure; each file carries the rules, examples, and red lines for its step.

Guides a structured feature-development workflow: explore the codebase with subagents, draft a plan for approval, implement step by step, verify with parallel checks, and record conventions.

Structures a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Creates structured specifications before writing code to clarify requirements, surface assumptions, and define success criteria, reducing rework and miscommunication.

Automates the full lifecycle of SSL/TLS certificates—requesting, issuing, deploying, monitoring, renewing, and revoking—using Python and ACME protocol tools.

Full autonomous execution from idea to working code

Client library architect for SDK design, API ergonomics, versioning, and developer experienceUse when "sdk design, client library, api client, developer experience, sdk versioning, type generation, http client, api wrapper, sdk, client-library, api-client, developer-experience, versioning, type-safety, http-client, ml-memory" mentioned.

Scaffolds fullstack projects (Next.js, FastAPI, MERN, Django) and analyzes code quality with security and complexity scoring.

Mines git history and codebase to reconstruct the development lifecycle, identify sequential and parallel patterns, and produce actionable recommendations for future iterations.

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

Guides the end-to-end cyber threat intelligence lifecycle from planning and direction through collection, processing, analysis, dissemination, and feedback to establish or mature a CTI program.

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Build and improve AI or probabilistic software through evaluation-driven development. Use for LLM applications, agents, prompts, RAG, tool use, classifiers, model migrations, quality regressions, golden datasets, LLM-as-judge rubrics, benchmarks, or requests to add evals and measurable release gates. Pair with TDD for deterministic code; do not use as the primary guide for ordinary unit testing without model behavior.

Automates multi-language software builds with Makefiles, dependency management, testing, packaging, and CI/CD integration.

Training Data Lifecycle Management (v5.4.2)

Design, deploy, and operate production-ready software with stability patterns, capacity planning, and zero-downtime releases.

Full token lifecycle from creation through bonding curve trading, graduation detection, AMM migration, fee collection, and volume tracking on Solana using PumpSdk and OnlinePumpSdk.

Full autonomous execution from idea to working code

Builds, configures, and debugs enterprise Java applications with Spring Boot 3.x, microservices, or reactive programming, including WebFlux endpoints, JPA optimization, and Spring Security with OAuth2/JWT.

Guide product managers through a complete discovery cycle from problem hypothesis to validated solution using problem framing, customer interviews, synthesis, and experimentation.

Develops and debugs Apex code, builds Lightning Web Components, optimizes SOQL queries, and manages Salesforce DX deployments with CI/CD pipelines.

Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.