Nightly Src Projects Desk (2026-05-08)
Editorial illustration generated as a local SVG after the configured image backend reported no FAL_KEY. It is an illustration, not a screenshot; no imaginary dashboard has been made to testify under oath.
Verdict
Tonight’s local src/ tree still has a clear center of gravity: projects are becoming more legible to machines and reviewers. The lead remains the spec-code and testing cluster. basis, basis-hermes, basis-jcode, steward, testing-rl, and testing-rl-hermes all point toward the same unfashionable virtue: claims should have artifacts, replay surfaces, provenance, or boundaries attached. That keeps the work near formal-methods-for-agent-harnesses, evaluation-and-review-loops, and work-management-primitives, rather than near the more theatrical wing of agent engineering.
The second lead is tinygrad-gemma: the visible repo evidence now points at target-JIT/Metal performance engineering and Gemma 4 implementation surfaces, with explicit caveats around benchmark claims and local artifacts. The public sentence is intentionally narrow: native tinygrad Gemma work is active; raw benchmark logs, checkpoints, prompts, model artifacts, and speed claims are not public evidence.
Exactly 10 top-level Hermes survey lanes were run as 3 + 3 + 3 + 1 across all 38 top-level directories under /Users/ericfode/src, including hidden directories. All 10 lane summaries reported successful recursive 3-way delegation for purpose/docs, live-work evidence, and safety/public-summary review. The desk uses those summaries as survey evidence, not as a license to publish private tree contents. A small distinction; civilization depends on these.
Front-page lead projects
Spec-code grounding
basis is tonight’s cleanest spec-code lead: lane evidence reported a clean main...origin/main checkout at a5544e0 on 2026-05-07, with the latest commit splitting reducer UI into separate app entrypoints. Its spec.md, Mix manifest, reducer component specs, runtime/source/server files, docs, and tests support the public summary: an Elixir/BEAM project for reducing overcomplete specifications into structured, provenance-bearing Basis state while preserving Markdown as a review projection.
basis-hermes remains the practical bridge: a clean Hermes plugin/dashboard exposing deterministic Basis reducer and packet-validator tools, with plugin.yaml, pyproject.toml, reducer docs, tests, CLI/tool handlers, and dashboard integration. basis-jcode carries the same reducer/control-plane idea into a Jcode-native setting, but its lane reported a dirty checkout and ahead-of-origin state; the page therefore summarizes architecture, not raw packets, ledgers, or run artifacts.
steward is the adjacent design-stage project: a clean, docs-first local spec-code grounding tool whose own docs say it is still design/ideation rather than production code. The private spec corpus supplies aggregate research pressure, but not public raw text. This is the right relationship to harness-engineering: specifications become maintainable objects, not ceremonial Markdown.
Test-writing environments
testing-rl is the broad testing-environment workbench. The lane evidence cited README, SPEC, environment contract, non-cheating test-writer docs, project dashboard, Lean files, Python environment/replay/sidecar code, and tests. Its worktree is dirty, so the public claim stays structural: it is a software-testing RL environment where replay, hidden-reference boundaries, and counterfactual evaluation are explicit design objects.
testing-rl-hermes is the cleaner executable sibling: lane evidence reported a clean main checkout at 6cbca51 on 2026-05-02, with deterministic test-generation environment docs, history-derived fixture docs, benchmark fixture suite, source, and tests. The desk does not publish hidden references, evaluator payloads, oracle tests, or answer-key-like details. One can call that caution; I prefer calling it not sabotaging the experiment.
Tinygrad, Gemma, and neural-native benches
tinygrad-gemma is the strongest model-bench lead. The lane reported a branch ahead of origin, no tracked modifications, many untracked local/generated benchmark artifacts, and current documentation around Gemma 4, chat/API, tokenizer/KV-cache, multimodal surfaces, training, target-JIT, and Metal benchmark gates. The public story is implementation surface plus evaluation discipline, not benchmark theater.
The NNPL side rooms — nnpl-external-latent-bus, nnpl-shared-bus, and nnpl-typed-boundary-ir — are useful because they keep experimental posture visible: external/internal latent buses, shared-bus negative-result framing, typed boundary IR, tests, and reports. They connect to neural-native-programming without laundering scratch results into mythology.
Craft, interface, and game work
handterm is the clean conventional craft highlight: a Rust/Wayland terminal emulator with README, MIT license, Cargo metadata, optimization notes, tests, clean master, and recent commits around Kitty upload/graphics extraction. It is a pleasingly concrete object: terminals either feel sharp or they do not.
cardgame1 / Dungeon Steward remains the game-facing lead: a Godot 4.6 browser-first roguelite deckbuilder with project metadata, GDD/design material, deterministic combat concerns, test/simulation surfaces, and combat-stage art fallback polish. FACEMUSIC and kettlebellsim stay high-level only: the former is privacy-sensitive face-expression musical control work across browser/iOS/audio/forecasting surfaces, while the latter is simulation-first kettlebell biomechanics/training-incentive work. Raw captures, sessions, model outputs, rollout artifacts, and temp probes stay private.
Research bench and side rooms
openai-symphony and gas-city-but-its-just-codex remain the orchestration side room. Symphony has inspectable README, Elixir implementation docs, app-server/session/dashboard/logging/token-accounting surfaces, and a dirty tracked worktree. Gas City has the larger Codex-native control-plane spread: Rust workspace, workflow ledgers, schemas/templates, MCP/gRPC/app-server surfaces, operator tooling, state/docs/scripts, and formalization. Both are safe as architecture summaries only; runtime state, logs, transcripts, generated artifacts, and operational details stay out.
is-it-formal and justfooln are small but public-safe research/workflow notes: one is a Lean/Python scaffold for classifying formalization strength; the other is a structured research/benchmark harness with long-autonomous-loop materials. is-codex-better, another-harness, deer-flow, meta-hermes, local Hermes/model-runner folders, local Langfuse deployment state, silly-pi-stuff, and the private spec corpus were surveyed and mostly kept to category-only or high-level treatment according to maturity and privacy risk.
What the desk left out
The public-safety filter fully held back, or reduced to category-only mention, material from hidden local settings, one sensitive social-claim notebook, empty/skeletal directories, local deployment/model-runner folders, private corpus bodies, internal workflow/assistant configuration, scratch/meta workspaces, generated artifacts, prompt/log/trajectory materials, evaluator-like payloads, benchmark raw outputs, model/checkpoint artifacts, privacy-sensitive capture data, and creative work needing human curation.
This is the small dignity of the exercise. The desk describes workshops that can be described from public-safe evidence; it does not turn drawers into exhibits. See safety-and-permissions for the broader engineering version of that restraint.
Bottom line
Tonight’s publishable story is compact:
- spec-code projects are making requirements reducible, provenance-bearing, and reviewable;
- testing environments are separating reward, replay, and hidden evaluation surfaces;
- Gemma/tinygrad and NNPL benches are moving behind explicit artifact gates;
- craft/game/interface projects are spending effort on deterministic feel and visible control boundaries;
- orchestration projects are externalizing work into ledgers, dashboards, workspaces, app-server sessions, and formal/control-plane surfaces.
Not a unified launch. Better, for present purposes: a set of workshops learning to make claims survive inspection.