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DevSpark and Spec-Driven Delivery
Spec-driven development, AI-assisted delivery workflows, governance, and the DevSpark toolkit.
27 articles grouped from: DevSpark
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Observability in AI Workflows: Exposing the Black Box
How DevSpark run artifacts, JSONL event logs, and telemetry make AI workflow debugging tractable — turning non-deterministic failures into diagnosable events.
Taking DevSpark to the Next Level
From EDS mainframes to AI coding agents—introducing the Adaptive System Lifecycle Development Toolkit that bridges rigorous enterprise methodology with modern AI-assisted development. Learn how to balance structure with innovation, maintain quality without rigidity, and make your project constitution valuable throughout the entire development lifecycle.
Why I Built DevSpark
An exploration of why I built DevSpark — driven by the personal struggle of keeping existing codebases aligned with architectural standards long after the initial specification phase.
Latest in this topic
The Methodology Tax: Why Grassroots Innovation Gets Rejected
DevSpark and Agent Skills: Beyond Portable AI Capabilities
DevSpark Blogging Workflow: How I Built Better Articles
Closing the Loop: Automating Feedback with Suggest-Improvement
Designing the DevSpark CLI UX: Commands vs Prompts
The Alias Layer: Masking Complexity in Agent Invocations
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