15 connected articles
Defining estimation uncertainty and explaining how PERT's Standard Deviation (SD = (P - O) / 6) quantifies the risk or confidence level in an estimate.
Defining Expected Duration (E) in PERT and explaining the calculation using the weighted average formula E = (O + 4M + P) / 6.
Defining PERT (Program Evaluation and Review Technique), a method using three-point estimates to manage project uncertainty and improve forecast reliability.
Explaining the three-point estimation technique, defining the Optimistic (O), Pessimistic (P), and Most Likely (M) estimates used in PERT.
Defining the Work Breakdown Structure (WBS) and explaining its crucial role in decomposing project scope into manageable tasks for effective estimation.
Defining Acceptance Criteria (AC) as the specific, objective, and testable conditions that determine when a user story is successfully implemented.
Defining the Definition of Ready (DoR) as a team-agreed quality gate ensuring user stories meet specific criteria before being considered for estimation or sprint commitment.
Defining Behavior-Driven Development (BDD) and its Given-When-Then (GWT) syntax for writing clear, example-based acceptance criteria that aid understanding and estimation.
Defining the INVEST mnemonic (Independent, Negotiable, Valuable, Estimable, Small, Testable) and its practical use as a quality checklist for user stories before estimation.
Defining a user story in Agile, highlighting its structure and purpose as the key input for development team understanding and estimation efforts.
Canonical naming is a way for us to delineate the boundaries of entities in a vector space, particularly used for graph-based Retrieval-Augmented Generation (RAG).
Embeddings allow us to represent meaning in a vector space, allowing us to perform mathematical operations on it.
Model Context Protocol (MCP) standardizes how AI models and applications connect to external data sources and tools.
Retrieval-Augmented Generation (RAG) is a technique that enhances AI-generated responses by first retrieving relevant information before generating an answer.
Vibe coding is a new skill set that allows non-programmers to build SaaS applications or software in general using plain text instructions instead of writing traditional code.