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Loading.Agentic coding is letting AI agents carry out real engineering tasks end to end (read the repo, plan, edit, test, open PRs) against your review gates, instead of just suggesting lines. For a team, doing it for real means shared context (one source of truth for the agents), observability (knowing what the agent did), and operators who supervise fleets. tsukumo builds that capability with your team.
Updated
Go deeper: read the full write-up on the blog.
Autocomplete suggests the next line; an agent carries a task end to end (reads the repo, plans, edits, runs tests, opens a PR) and stops at your review gate. The difference isn't speed of typing, it's how much of the work the machine actually carries.
Agents fail in real codebases for three reasons: no durable context (they can't navigate your repo and docs), no observability (you can't see what they did), and no operators (nobody trained to run them). Close those three and agentic coding becomes reliable instead of a demo.
Seats scale autocomplete, not throughput. Buying more of them gives more developers a copilot; it doesn't give the team shared context, the visibility seniors need to trust the output, or the operating skill to run fleets.
We run agents inside your conventions and controls — your CI, your review culture, your permissions. No POC theater on a clean slate; real work on your real codebase, measured.
or have us build it — same capability, the other door