We build recursive self-improvement (RSI) loops grounded in recent literature.
Mathematics curriculum01 / 08
Identify a list of quantifiable tests
Set measurable targets up front so you can compare each change with the baseline and see whether it improves what matters.
02 / 08
Setup a test environment
Run each candidate with the same inputs and settings so you can repeat the tests and compare results fairly.
03 / 08
Train in parallel on a swarm
Have several agents explore different code changes at once so you can compare more candidates in the same time.
04 / 08
Generate code artifacts as a directed graph
Link each code change to its inputs, tests, and results so reviewers can trace where it came from and how it performed.
05 / 08
Search solution space with genetic algorithms
Use test scores to decide which changes to vary or combine, then measure whether the next round improves on them.
06 / 08
Deploy to production environment
Deploy only after an independent evaluator verifies the change on held-out tests and a human reviews the evidence and approves the release.
07 / 08
Leverage local LLMs to Monitor telemetry
Use local models to test the system, summarize logs and flag unusual errors in production
08 / 08
Autonomously generate new test cases
Use observed failures to draft new regression tests for review while keeping the independent evaluator’s held-out tests fixed.
09 / CONTACT
Climb your own loop.
Bring your data and tests
Engineering and Training
End-to-end system setup and team training. The intended outcome is autonomous operations within six months.
The statement of work will define the agreed system scope, start event, and measurable acceptance criteria.
- Vendor SKU
- LC-ENG-TRN-6M
- Price
- $100,000 USD per project
Outer loop
Improve the search strategy by comparing matched trials.
Inner loop Iteration n
-
Propose candidates
Use past evidence to draft bounded changes.
Candidate patches -
Deterministic tests
Replay each patch on the same fixed inputs.
Scores + traces -
Rank by evidence
Compare observed quality and cost.
Ranked shortlist -
Outer-loop review
Independent held-out checks
An immutable evaluator checks quality, resource use, and safety on unseen cases.
Passing report -
Human approval
Review the evidence before promoting a passing version.
Approved version -
Next iteration n + 1
Carry forward the approved version and trial evidence.
New baseline