EPYCREST / BLOG
Analysis, field experience and methods for building software with artificial intelligence.
DevOps automated delivery, DevSecOps added security. DebtOps applies the same logic to technical debt: specialized agents that pay down debt continuously, every night, across the entire portfolio.
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With AI, we ship far more code. Should we accept far more bugs in return? No: quality isn't a function of how much you produce, it's a property of what you ship.
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In a world where AI redefines our practices every week, what was innovative two months ago is already outdated. Our approaches, tools, and instincts must evolve at the same pace — and the people best equipped to help us stay on course aren't always who you'd expect.
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AI requires complete organizational transformation, not simple tool adoption. Organizations that succeed transform structure, processes, and culture to maximize sustainable ROI of 200-400%.
Read article →After months of daily Specification Driven Development implementation on real projects, we deliver an honest assessment: what works remarkably well, what hurts, and what it means for the future of our profession.
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AI generates locally consistent code but can create global architectural chaos. Paradox: it's also the most powerful tool for rapid refactoring. Organizations that exploit AI bidirectionally (generation AND remediation) maintain sustainable velocity.
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A 60% drop in entry-level positions and hiring freezes threaten the development talent pipeline. Without juniors today, there will be no seniors in 2028-2030.
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AI destroys the narrow specialization model by transforming the T-shaped developer from an aspirational concept to an operational necessity. The role shifts from execution to orchestration.
Read article →AI generates 1.7x more bugs than humans, but these bugs are fundamentally different. This distinction changes the conversation about code quality and forces a transformation in development processes.
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When AI agents can generate code faster than you can type it, the developer's role shifts from execution to orchestration. This isn't about coding less—it's about thinking differently, architecting at higher levels, and mastering the art of steering artificial collaborators toward quality outcomes.
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Definitive guide to AI models for VSCode, Terminal, and CLI: benchmarks, price comparisons, and recommendations by use case. GPT-5.3-Codex dominates with 77.3% on Terminal-Bench, Claude Opus 4.5 reaches 81.6% on SWE-bench.
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AI promises spectacular productivity gains, but reality is more nuanced. Amplification exists and transforms the profession more than it accelerates it, requiring more judgment, rigor, and diverse skills.
Read article →Understanding the fundamental differences between two AI-assisted development approaches: Specification Driven Development and Vibe Coding.
Read article →Like the Agile Manifesto 25 years ago, we propose guiding principles to navigate the AI revolution. The impact is even greater, the stakes even more critical.
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