Background Knowledge
What you should know about agentic coding before you decide.
What changes for developers day-to-day?
The work shifts: less writing line-by-line, more directing, reviewing, and refining. The skill level stays the same — the shape of the work changes. Experienced developers aren't replaced, they work differently.
Who checks what the AI writes?
Your existing review process stays intact. AI-generated code goes through the same quality gates as human-written code. The agent doesn't bypass your standards — it delivers, the team reviews.
Tools change constantly — is it worth starting now?
Specific tools come and go. The skills behind them — structuring tasks, writing instructions, evaluating AI output — stay. You're investing in competence, not in a product.
Can't our senior devs figure this out themselves?
They can — with more dead ends spread over months. A structured start compresses that trial-and-error phase into days. It doesn't replace competence, it shortens ramp-up time.
Does this change how we plan work?
Tasks that took a day take an hour with AI agents. Planning and task decomposition naturally adapt. No new frameworks needed — your existing processes evolve with the change.
What does waiting another year cost?
The gap between teams using AI agents effectively and those that don't grows every month. Early structured adoption is an investment, not an experiment.