Evidence
Reports and measurements
Things we have actually done with the engine, written up in detail. Worth reading if you want to know more, or to check the numbers for yourself.
Isolating third-party libraries in four open-source Java projects
CodeLaser isolated 28 third-party libraries across Caffeine, Timefold Solver, Trino and QuestDB. Each is now named in only one small layer the project owns. All 28 compiled without breaking a passing test.
From 26K references in Caffeine to 361K in Trino, tests included. For each library the report says what a tool can change, what needs a developer, and what the interface would cost to own.
Dead-code removal on four open-source Java projects: the CodeLaser engine against Claude Code
Both were given the same four open-source projects and the same list of roots. The engine removed the dead code 8 to 14 times faster, used no tokens, and every result was clean. Claude Code’s results compiled, but in five of its six attempts they broke a build, a test suite or a public API.
Ten runs, each measured by a harness that asks neither side what it did. Two attempts on Caffeine, from the same starting point and the same instruction, removed 6 and 21 declarations and agreed on only 5.
Reducing the dependency loop inside Apache Ignite’s core
ignite-core is a single artifact of 5,632 classes, and 2,476 of them depended on each other in a loop. The loop was reduced to 483 classes, and the management commands became a Maven module of their own.
65 commits, each building cleanly across all 43 modules. Every step was predicted before it was made and measured after.
Separating timefold-solver-core into nine modules
978 classes in one artifact depended on each other in a loop, and a module has to be built before whatever uses it — so no boundary could be drawn anywhere in it. The loop was reduced until it could, and the result is nine modules that build in a fixed order.
A control build was held at a fixed commit and never written to, and the whole project was compared against it after each step, module by module rather than on totals · 369 runs of 276 scripts, 50 commits, 1,861 files changed · 102 predictions made and scored before the work, 84 exactly right