The Levich Journal
Notes on building better businesses through Partnerships
These are field notes from the work we do: leading engineering teams, building AI systems that run in production, shaping revenue strategy, and designing products that earn people's trust.
SDLC vs ADLC: Understanding the Difference Between Traditional Software Development and AI Development
SDLC and ADLC solve different problems: one delivers predictable, rule-based software, the other manages AI systems that learn and adapt. Modern products often need both frameworks working together for lasting success.
How Levich Reads Emergent’s $1.5B Rise: Vibe Coding, Multi-Agent AI, and What Comes Next
Emergent’s $1.5B valuation isn’t just a funding story. It’s a case study in how multi-agent AI architecture is redefining what vibe coding can actually build.
Speed vs Quality: How Levich Decides Which Tool Earns a Seat at the Table
Speed has never been the enemy of quality, but imprecision is. This is how Levich decides, task by task, when to let AI move fast and when a human needs to stay in charge.
Prototype vs. Production: Why “It Works on My Laptop” Isn’t Done
The moment a product first works can feel like the finish line, but it’s actually the starting line of a different race, one that decides whether it survives the business depending on it.
Choosing the Best Offshore Technology Partner: A Practical Framework
Businesses invest in technology to improve how they operate, launch products, or support growth. This is a practical framework for choosing the offshore partner who actually delivers.
