BD × AI Lab · 8zCoding
Executable coding research · MAL ↔ 8zCoding

8zCodingModels propose. Evidence decides.

A local code-discovery laboratory for turning multi-AI proposals into compiled, tested, benchmarked and reproducible software — without letting model confidence, provider prestige or controller rhetoric substitute for executable results.

The experiment: can better task specification, blind multi-model diversity, evidence-guided repair and cost-aware allocation produce better verified code per unit of total cost than a strong single agent, Best-of-N and simpler controllers?
A0/A1 verifier · PASS A2/A3/A5 · engineering PASS A4 oracle · provisional DCC utility · not promoted LZ mechanism · not promoted A6 live coding · not yet run

Two engines. One evidence loop.

During R&D, MAL and 8zCoding deliberately remain separate. MAL creates intelligence-rich task packets and blind candidate sets; 8zCoding owns local execution, hidden verification, benchmarking and evidence. The separation is a measurement boundary, not a product limitation.

MAL engine

Intelligence before code

Reconstruct the problem, sharpen the behavioral contract, generate alternative implementations and keep provider identity private from the evaluator.

8zCoding engine

Reality after code

Compile, execute, verify, benchmark, measure memory and artifacts, bind results to exact candidate bytes, and preserve failures as evidence.

Controller layer

Allocation must earn its complexity

Equal allocation, greedy, bandit-style and DCC controllers compete. DCC is a candidate — never a privileged winner.

A wind tunnel before real software.

The first domain is intentionally narrow: count(n, prefix) must return the exact number of legal N‑Queens completions. That makes it possible to harden the judge before asking whether the search process itself is intelligent.

Exact oracle

Correctness is a hard gate

Independent Python and C++ reference paths, strict I/O, canonical output and known totals make silent “almost correct” code unacceptable.

Mutation pressure

Known wrong programs must die

The A0/A1 calibration rejected all 11 seeded wrong candidates, including prefix, diagonal, symmetry, truncation, grammar and nondeterminism defects.

Windows reality

Platform bugs count

Actual Windows 11 + MSVC runs exposed and repaired compiler sidecar and CRLF/LF protocol defects before the verifier was accepted.

What A0/A1 establishes

We have a strong local judge for the frozen N‑Queens behavioral domain. It does not establish that multi-LLM coding, MAL, DCC or 8zCoding live search is superior. Those are later experiments.

The machinery works. The favored mechanism has not won.

The current controller package is useful precisely because it does not force a success story. It separates engineering validity from scientific promotion.

LayerStatusWhat it means
A0/A1 verifier & oraclePASSStrict behavioral judge; actual Windows 11 + MSVC core and package-close confirmed.
A2 synthetic calibrationENGINEERING PASSController mechanics, replay legality and synthetic hard predicates operate as designed.
A3 N‑Queens TUNE replayENGINEERING PASSReal candidate ecology and controller replay executed deterministically.
A4 opportunity / oraclePROVISIONALPrimary metric is AUC-U, but the current oracle optimizes final utility first. Alignment successor required.
A4 passive LZ predictionNOT PROMOTEDlz_norm did not achieve the required out-of-bank predictive improvement.
A5 one-shot replayENGINEERING PASSInternally precommitted same-generator holdout executed without post-holdout retuning.
P-DCC-UTILITYNOT METC5-R did not materially beat the strongest ordinary controller.
P-DCC-COMPRESSION-MECHANISMNOT METIncremental value of the LZ/process-compression channel is not established.
A6 live codingNEXTAllowed after bridge conformance and sandbox gates; can begin with equal or ordinary allocation.
TUNE · C5-R − C4b
+0.006812
AUC-U · positive, below 0.02 practical win margin
Holdout · C5-R − C0
−0.008469
AUC-U · competitive mean, not a win
Holdout · C5-R − C5-A
−0.002173
Compression channel unresolved
Evidence class

The A5 evidence is a one-shot internally precommitted same-generator holdout: useful internal validation, not independent replication. Two order variants of one content seed are nested measurements, not two independent banks.

Practical margin ≠ statistical equivalence

An observed mean delta inside ±0.02 says the average difference is small relative to the predeclared practical margin. It does not, by itself, establish formal equivalence or non-inferiority.

The A4 oracle found a bug in our own claim boundary.

The replay protocol declares AUC-U as the primary utility, but the current static/adaptive oracle chooses schedules by final utility first and AUC second. That makes it possible for a deployable controller to score higher AUC-U than the object called the AUC oracle.

Observed diagnostic

Negative “room”

HOLDOUT_570173 / O1 reports room_from_c0 = -0.093269... and room_from_c4 = -0.091226.... A true upper bound for the same primary metric should not do that.

Bounded repair

Split the objectives

The planned v0.2.1 successor separates ORACLE-A-AUC, ORACLE-A-FINAL, ORACLE-S-AUC and ORACLE-S-FINAL, with a truth-known canary where AUC-optimal and final-optimal schedules differ.

What changes — and what does not

The oracle defect makes A4 room/regret interpretation provisional. It does not retroactively erase raw controller traces or their direct AUC-U means. The v0.2 package remains historical evidence; the correction belongs in a new versioned successor.

Blind generation on one side. Untrusted execution on the other.

The next system-level experiment is not “ask many models and vote.” It is a controlled bridge in which MAL prepares the same canonical coder packet for multiple fresh providers, hides identity from evaluation, and 8zCoding returns only evidence that is safe to use for repair.

Candidate Forge

Stateless providers

Each first-round model receives the same canonical task, no peer answers and no MAL synthesis preference. MAL is locally stateful only for provenance, costs, hashes and resume.

Blind evidence

Opaque IDs

The evaluator sees candidate bytes and opaque IDs — not provider prestige or route order. Private provenance remains separate.

Shared contract

One conformance kit

MAL_8ZCODING_BRIDGE_CONFORMANCE_KIT_V1 must define the exact schemas, canonicalization, path safety, ZIP/hash rules and feedback redaction both engines obey.

Repair is an experiment too

Evidence-guided repair must be compared against an equal-cost fresh cold sample. The first pilot allows at most one repair round, then evaluates on a separate final post-repair holdout.

Generated code is data until the sandbox says otherwise.

MAL never executes provider-generated code. A6 must not import or execute untrusted candidate code directly inside the normal MAL process or an unprotected host environment.

No host trust

Disposable execution

Use a disposable Windows Sandbox, VM, isolated WSL/container or comparable environment. Direct host execution is outside the intended A6 security contract.

No ambient authority

No network. No credentials.

Bounded mounts, read-only or mediated oracle access, process-tree control, timeouts, memory/disk/output limits and no secrets in the candidate environment.

No hidden-test leakage

Safe feedback only

Models may receive failure classes and redacted diagnostics, never hidden fixture bytes, expected hidden answers or enough repeated information to reconstruct the final holdout.

The shortest path to new evidence.

Several tasks can proceed in parallel, but the first claim-bearing live coding run stays behind explicit interface and sandbox gates.

A
Bridge Kit candidate + MAL v2.0 Candidate ForgeFreeze shared schemas first; implement MAL against exact candidate-kit bytes.
NOW
B
A2–A5 v0.2.1 oracle alignmentSeparate AUC and FINAL oracles; recompute only affected A4 room/regret evidence.
PARALLEL
C
Promote one shared Bridge Conformance Kit V1MAL and A6 must return the same verdicts on the same fixture bytes.
GATE
D
A6 offline / mock runner + disposable sandboxBlind ingest → build → verify → benchmark → safe feedback, with no paid calls.
NEXT
E
Small matched-Python live Top‑5First measure prompt effect, then diversity, then repair vs cold sample.
LATER
F
Ordinary controller before DCC-ROnly after live traces show real allocation opportunity; DCC-R enters as an equal comparator.
LATER
G
Transfer beyond N‑QueensWeighted pathfinding first; frozen transfer and retuned results reported separately.
TRANSFER

Not more activity. Better verified software per total cost.

Success

The stack earns its extra machinery

Across more than one programming task, the system produces a better verified Pareto frontier — correctness, runtime, size, robustness and discovery cost — than strong single-agent, Best-of-N and simple evolutionary baselines under comparable total budget.

Failure that still teaches

The simpler system wins

If MAL prompt forging, Top‑5 diversity, evidence repair or DCC fails to repay its coordination overhead, those layers should be removed or demoted. The verifier, blind forge, evidence bridge and release pipeline can still remain valuable.

Controller rule

If equal allocation or a simpler ordinary controller matches DCC at lower cost, the simpler controller wins. ssMDL×DCC only means the governor is allowed to compete — not that it is guaranteed victory.

A measurable first work cell — if it earns the role.

If MAL × 8zCoding proves value, it can become the first operational cell of a future AI8 Work Environment: locally continuous project state, replaceable AI providers, task/evidence graphs, multiple workstreams and controllers that themselves remain subject to comparison.

Continuity

State belongs to the project

Provider/model calls can stay fresh and replaceable while local continuity preserves goals, artifacts, evidence, decisions, budgets and open tensions.

Team intelligence

MAL coordinates possibilities

Architect, researcher, alternative architect, falsifier and integrator roles can propose work without being mistaken for independent empirical evidence.

Reality cells

8zCoding closes the loop

Programming is the first domain because compiler, tests, hidden oracles and benchmarks make it unusually hard to substitute persuasive prose for a working artifact.

Claim boundary

An effective AI8 work cell would be evidence about a workflow architecture. It would not, by itself, establish AGI, ASI, consciousness, personhood or ontological continuity.

Executable evidence exists — with a known open debt.

Current project artifact

8zCoding_NQueens_Controller_Replay_A2_A5_v0_2_RND.zip

This is an executable research laboratory, not a deployment release. Its controller traces and engineering results remain useful; A4 oracle room/regret is provisional until the bounded oracle-alignment successor is built and rerun.

SHA3-256 · e8c80cd9862f045aaa3f19ccb1f5a89a1203eee290dbad243df64213e35ef1cf
ZIP size7,066,925 B
Members1,306
TerminalA2_A3_A5_RND_PASS
Public statusR&D evidence

The package is referenced here by identity, not assumed to be a public download. If released publicly later, it should be published as a proper Code Capsule with exact commands, package-close receipt and the oracle-alignment limitation visible beside it.