Beyond the Prompt: Building AI SDLC at Temabit [ukr]

I want to talk about real AI adoption — the untold problems we rarely hear in LinkedIn success stories — drawn from Temabit’s experience rolling out AI across the delivery process.

First, the bottlenecks and friction on the ground: how teams push back on change, what finally leads to acceptance, and what that actually costs in time, process, and culture.

Then, why giving developers a Claude Code license isn’t enough — and why AI SDLC matters when the goal is adoption that scales beyond one power user across the full delivery chain.

Finally, Temabit’s journey from chaotic agents to SDD and then to AI SDLC, with key problems at each stage — and what comes next, including the problems still being worked through.

Dmytro Shabanov
Solution Architect at Temabit
  • Builds distributed—and occasionally not-so-distributed—systems
  • Agents are part of his daily toolkit, used for everything from routine workflows to more unconventional scenarios
  • LinkedIn
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