SwarmCoder runs a team of specialized agents through one fixed development lifecycle — frontier models only where judgment demands them, swarms of cheap local ones for the bulk of the work, and every decision written down.
You decide twice per slice. The machine does the rest.
One board. A story appears when the planner suggests it — you accept it as real work, the swarm builds it, you judge the delivery. Nothing vanishes, nothing parks off-screen.
Which worker wrote it, which candidate won, which test proved it, which requirement demanded it — down to the sentence of the document it came from. Queryable months later, in both directions.
The token-heavy loops that read your whole repository run on your own hardware. Cloud roles see typed summaries and diffs — never a raw worker trajectory. Remaining cloud spend is capped per run.
Every requirement is bound to an executable check. It flips to implemented on evidence — a commit and a passing test — not on anyone's say-so. Edit the wording and the evidence goes stale, visibly.
On hardware you own, eight workers on one task cost roughly what one costs. If seven of eight attempts are wasted, that is not a failure of the method — it is the method. You can only afford to think that way when the marginal cost of a token is electricity.
SwarmCoder is multi-agent by design, and model selection is a per-task cost decision: every agent runs on the cheapest model that can do its job well — frontier, mid-tier, or local. The rule that sorts them: frontier is needed where there is no test in front of the output.
Workers get eight attempts and a verification gate, so they run as local swarms. The judgment roles get one shot at artifacts nothing downstream can mechanically check — that is where the frontier spend goes, and it is small, structured, and capped per run.
Meet all fifteen agents →Today's frontier pricing is a market-share price, not a cost price — and most agentic coding platforms are architected to consume more of it with every release. SwarmCoder is built the other way, before the repricing, not after it.
Other parallel-agent tools hand you a row of tabs and twenty diffs. SwarmCoder picks the winner mechanically: tests are written first where workers can't touch them, cheap filters run before expensive ones, survivors are clustered by behaviour, and only then does a judge rank a handful of genuinely different diffs against real test results.
One candidate wins. Alternatives are never merged. Losers are archived with their evidence — never deleted.
See the whole selection machinery →SwarmCoder is for organizations that need proper traceability on their software development — one process, followed every time, with the receipts — instead of an agent that reinvents its way of working on every run. It runs on your hardware, on your network, on your repository.
Agentic software development with full traceability — built on ZeroZ4j by Franz Schöning, Principal Enterprise Architect.