Earlier quoted context omitted.
> A low level concurrent and parallel ‘functional’ language I'm not particularly familiar with array based languages, but are you inspired by them at all? Seems like a similar concept. What're your goals for the language? It would be cool to see a parallel execution model unify SIMD, multithreading and gpu. I bet people with a lot of money would be interested if you could apply it to ML
Not particularly inspired by the array languages in general. I do like the idea of a specifics DSL or library that is built from the ground up for ‘vector’ operations (Futhark would certainly be an inspiration here). I do think an (syntax divergences aside) implementation of what is essentially CUDA-like language/library is very possible. I don’t really have any lofty goals, the language exists to let me have my pers…
Ask HN: What are you working on? (January 2026)
271–280 of 914 posts
Re: Ask HN: What are you working on? (January 2026)
#272You connect GitHub, CI, Sentry, and Linear, and it takes tickets all the way to production. Claude writes the changes, BacklogAI handles tests, migrations, feature flags, staged rollouts, etc...
It’s clearing months of backlog work in hours, and a couple teams I’m working with have already stopped hiring because it’s cheaper than adding more developers. It's crystal clear that developers and designers won't be needed in a couple of months because claude increases productivity by at least 120x and one or two PMs can do pretty much everything.
My stack is Claude, v0, nextjs, shadcn, clerk, supabase, vercel.
Re: Ask HN: What are you working on? (January 2026)
#273I'm working on BacklogAI, an autopilot engineer for SaaS teams. You connect GitHub, CI, Sentry, and Linear, and it takes tickets all the way to production. Claude writes the changes, BacklogAI handles tests, migrations, feature flags, staged rollouts, etc... It’s clearing months of backlog work in hours, and a couple teams I’m working with have already stopped hiring because it’s cheaper than adding more developers.…
Re: Ask HN: What are you working on? (January 2026)
#274Instead of filtering commands with heuristics (which agents work around), it dry-runs entire scripts in a PyPy sandbox, captures every command and file operation, then shows you exactly what will happen before anything executes.
I’ve just added checkpoint/rollback so you can undo changes if something goes wrong. Currently working on example scripts for common sysadmin tasks (nginx config, log cleanup, cert audits, etc.)
Re: Ask HN: What are you working on? (January 2026)
#275Started this incarnation on Dec 30, 2025 -- but it's the crystallization of decades of earlier prototypes, all the way back to my Commodore-64 Logo Adventure. Built on top of Anthropic's Skills framework, extended with seven innovations (and counting):
1. Instantiation -- Skills as prototypes creating instances with their own state
2. K-lines -- Names as semantic activation vectors (Minsky's Society of Mind)
3. Empathic Templates -- Smart generation based on semantic understanding, not string substitution
4. Three-Tier Persistence -- Platform (ephemeral) → Narrative (append) → State (edit)
5. Speed of Light -- Many turns in one call, minimal tokenization overhead
6. CARD.yml -- Machine-readable skill interfaces with advertisements
7. Ethical Framing -- Room-based inheritance of performance context
Lineage: Colossal Cave → TinyMUD → LambdaMOO (filesystem as world). Papert's Logo and constructionism (learnable microworlds). Will Wright's SimCity and The Sims (I worked on the originals) -- the "Simulator Effect" where players imagine more than you simulate, and the SimAntics visual behavior programming language.
YAML Jazz: Comments aren't ignored -- they're semantic. The LLM reads and interprets them. A comment like "# gentle but firm" on a character trait actually affects behavior. This inverts the traditional "comments are for humans" assumption. Comments become part of the program and data.
The core idea: instead of prompt engineering, you give the LLM a github repo filesystem to inhabit: a persistent microworld. Seymour Papert's Constructionist philosophy comes alive, with Minsky's K-Lines pulling the strings. Skills are programs (not documentation). Characters have persistent state in directories, and can reflect on and edit themselves. Everything is inspectable and editable by human AND model. Model and platform independent. Runs on Cursor and other tools and orchestrators.
The proof is in adventure-4 -- a complete text adventure with 150+ files, 6000+ lines of session transcripts.
Repo: https://github.com/SimHacker/moollm
MOOLLM Manifesto: https://github.com/SimHacker/moollm/blob/main/designs/MOOLLM...
The MOOLLM Eval Incarnate Framework: https://github.com/SimHacker/moollm/blob/main/designs/MOOLLM...
Adventure 4 Example: https://github.com/SimHacker/moollm/tree/main/examples/adven...
My sessions as proof it works: https://github.com/SimHacker/moollm/tree/main/examples/adven...
79 Anthropic Skills (standards compatible, plus extensions, intertwingled with k-lines) and growing: https://github.com/SimHacker/moollm/tree/main/skills
A guided tour through the MOOLLM skills and microworld -- Session Log: K-Line Connections Safari: https://github.com/SimHacker/moollm/blob/main/examples/adven...
Adventure Compiler Design Discussion -- Adventure Uplift Session Log: https://github.com/SimHacker/moollm/blob/main/examples/adven...
MOOLLM Kernel: https://github.com/SimHacker/moollm/tree/main/kernel
Happy to answer questions about any of the weird design decisions!
Re: Ask HN: What are you working on? (January 2026)
#276Re: Ask HN: What are you working on? (January 2026)
#277https://nthesis.ai/public/702445eb-f0e4-4730-b34f-f34eb06dd6...
Or you can do a basic text search: https://nthesis.ai/public/hn-working-on
Re: Ask HN: What are you working on? (January 2026)
#278Never published to Steam before, it’s been a fun learning process.