Originally published on AI Tech Connect.
What you need to know Two years ago, running your own coding model was a compromise you made for privacy and then quietly regretted every time the completions came back wrong. As of July 2026, that has changed. A cluster of open-weight models has crossed the threshold where a team can serve them in-house and get genuinely useful engineering help — not just autocomplete, but multi-file refactors, agentic task loops and long-running builds. The question is no longer whether you can self-host; it is which model, on what hardware, and whether the sums actually work out in your favour. This guide is written for two kinds of team. The first is a Pune product company with a 2×48GB GPU pair sitting in a rack, wondering whether it can retire part of its API bill. The second is a London studio…
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