Ask HN: What are you working on? (January 2026)
AI agents, coding assistants & dev tools
- Many projects wrap LLMs into agents for coding (multi-session CLIs, MCP hubs, plan reviewers, deterministic “agent OS” runtimes, local MCP dashboards).
- Strong interest in orchestrating multiple agents, preserving long‑term memory, and structuring context via graphs or Zettelkasten-like stores rather than pure RAG.
- Several people are replacing or augmenting tools like WandB, MLFlow, Neptune, Backstage, or remote dev setups with self‑hosted alternatives.
- Heavy use of Claude Code / other models for “vibe coding”; some projects are almost entirely AI‑authored, but closely supervised.
Web, infra & data engineering
- Many build self‑hostable platforms: job orchestration on VMs, DevContainers-based remote dev, WireGuard meshes with eBPF, Postgres-native workflow engines, local‑first auth, printing/scanning stack cleanup, Talos home labs, serverless WASM platforms.
- Others focus on observability and analysis: OpenTelemetry UIs, query cost analyzers, security scanners that auto‑generate unit tests, code quality leaderboards, cloud cost tools, local DuckDB-WASM data explorers.
Productivity, knowledge & personal tools
- Numerous note-taking, PKM, and reading tools (incremental reading queues, local PDF search, clipboard search, Tailwind-accessible color pickers, calendar and workout apps, context-aware clipboards).
- Financial and business tools: accounting auto-coding, unified SaaS monitoring, AWS cost analyzers, simple invoicing (with EU e‑invoicing aspirations), small‑business CRMs and job tracking for trades.
Games, media & creative software
- Many hobby and commercial games, engines, and tools: voxel engines, party-game platforms, city explorers, music trackers, font editors, film/VFX tools, 2D game languages, no‑code multiplayer engines.
- AI imagery and video tools raise both excitement and ethical concerns (e.g., about AI assets in games and film).
Security, privacy & identity
- Work on PKI-style trust chains for age verification, penetration-testing agents, responsible disclosure tools, SL5‑style AI security frameworks, and CAPTCHA alternatives.
- Some skepticism about always‑on screen‑watching trackers and central AI memory layers; users worry about data control despite technical mitigations.
Physical, scientific & hardware projects
- Projects span spectrometers, SLAM camera modules, battery health PCBs, flight‑control systems for homebuilt airplanes, floppy‑disk magnetic visualizations, yeast engineering for flavored bread, robotics for agriculture, and IoT greenhouses.
Meta: AI and the future of software work
- Ongoing debate: will AI wipe out software jobs or just flood the world with “vibe‑coded” apps while increasing demand for true experts?
- Several compare this to digital photography: easier creation raises the bar for what counts as professional quality rather than eliminating professionals altogether.