TechniqueRLHF / Alignment3 recent entries23 Apr 2026ChipCraftBrain: Validation-First RTL Generation via Multi-Agent OrchestrationarXiv:2604.19856v1 Announce Type: cross Abstract: Large Language Models (LLMs) show promise for generating Register-Transfer Level (RTL) code from natural language specifications, but single-shot gene→15 Jul 2026Wiki Lint Report — 2026-07-15Automated lint: 26 errors, 6728 warnings, 3 info→19 Jul 2026Wiki Lint Report — 2026-07-19Automated lint: 20 errors, 8743 warnings, 3 info
TechniqueAgents8 recent entries5 Jul 2026Wiki Lint Report — 2026-07-05Automated lint: 51 errors, 15 warnings, 3 info→15 Jul 2026Something I have been thinking about: in the past, the best engineers I knew spent a lot of time automating their work in various ways. Bett…Something I have been thinking about: in the past, the best engineers I knew spent a lot of time automating their work in various ways. Better vim/emacs automations, writing lint rules to catch repeat→15 Jul 2026Wiki Lint Report — 2026-07-15Automated lint: 26 errors, 6728 warnings, 3 info→16 Jul 2026SemaDiff: Identifying Semantic-Changing Commits with Generated Code and TestsarXiv:2607.13111v1 Announce Type: cross Abstract: Distinguishing semantic-preserving commits from changing ones remains an open challenge in software repository mining. While existing approaches detec→19 Jul 2026Wiki Lint Report — 2026-07-19Automated lint: 20 errors, 8743 warnings, 3 info→25 Jul 2026Ruff v0.16.0Ruff v0.16.0 Astral shipped a significant new version of their Ruff Python linting tool a few days ago on July 23rd. I noticed today because my various CI jobs all started failing thanks to new defaul→27 Jul 2026The LangChain podcast where @hwchase17 interviews agent builders is full of alpha. Recent one with @EnoReyes was the best one yet. Sharing m…The LangChain podcast where @hwchase17 interviews agent builders is full of alpha. Recent one with @EnoReyes was the best one yet. Sharing my unstructured notes: Eno keeps bringing back some core conc→11 Aug 2026What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md FilesarXiv:2608.08453v1 Announce Type: new Abstract: Under the current standard, Agent Skills are SKILL.md files that combine instructions with supporting resources, enabling Large Language Model (LLM) age
TechniqueFine-tuning7 recent entries19 Apr 2026Wiki Lint Report — 2026-04-19Automated lint: 43 errors, 9 warnings, 3 info→21 Apr 2026MetaLint: Easy-to-Hard Generalization for Code LintingarXiv:2507.11687v4 Announce Type: replace-cross Abstract: Large language models excel at code generation but struggle with code linting, particularly in generalizing to unseen or evolving best practic→21 Apr 2026Arch: An AI-Native Hardware Description Language for Register-Transfer Clocked Hardware DesignarXiv:2604.05983v2 Announce Type: replace-cross Abstract: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language for micro-architecture specification and AI-as→1 Jun 2026Improving Small Language Models for Code Generation with Reinforcement Learning from Verification FeedbackarXiv:2605.30478v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) trains language models using programmatically checkable signals such as unit-test outcomes, enab→15 Jul 2026Wiki Lint Report — 2026-07-15Automated lint: 26 errors, 6728 warnings, 3 info→19 Jul 2026Wiki Lint Report — 2026-07-19Automated lint: 20 errors, 8743 warnings, 3 info→28 Jul 2026LFM2.5-Encoders: Fast at Long Context, Even on CPULFM2.5-Encoder is a family of multilingual bidirectional encoders built on the LFM2 architecture, available in two sizes: LFM2.5-Encoder-230M — a lightweight encoder for tight latency and memory budge
TechniqueMultimodal8 recent entries21 Apr 2026Arch: An AI-Native Hardware Description Language for Register-Transfer Clocked Hardware DesignarXiv:2604.05983v2 Announce Type: replace-cross Abstract: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language for micro-architecture specification and AI-as→26 Apr 2026Wiki Lint Report — 2026-04-26Automated lint: 44 errors, 10 warnings, 3 info→7 Jun 2026Wiki Lint Report — 2026-06-07Automated lint: 47 errors, 12 warnings, 3 info→22 Jun 2026Wiki Lint Report — 2026-06-22Automated lint: 48 errors, 13 warnings, 3 info→28 Jun 2026Wiki Lint Report — 2026-06-28Automated lint: 49 errors, 14 warnings, 3 info→5 Jul 2026Wiki Lint Report — 2026-07-05Automated lint: 51 errors, 15 warnings, 3 info→15 Jul 2026Wiki Lint Report — 2026-07-15Automated lint: 26 errors, 6728 warnings, 3 info→19 Jul 2026Wiki Lint Report — 2026-07-19Automated lint: 20 errors, 8743 warnings, 3 info
TechniqueSafety8 recent entries28 May 2026ICAN-Deploy: Identity-Stable Canary Deployment for Safety-Critical Embodied AgentsarXiv:2605.28097v1 Announce Type: new Abstract: Canary deployment routes a fraction of traffic to a new software version, monitors metrics, and rolls back on regression. Mainstream controllers (Argo R→7 Jun 2026Wiki Lint Report — 2026-06-07Automated lint: 47 errors, 12 warnings, 3 info→22 Jun 2026Wiki Lint Report — 2026-06-22Automated lint: 48 errors, 13 warnings, 3 info→28 Jun 2026Wiki Lint Report — 2026-06-28Automated lint: 49 errors, 14 warnings, 3 info→5 Jul 2026Wiki Lint Report — 2026-07-05Automated lint: 51 errors, 15 warnings, 3 info→15 Jul 2026Wiki Lint Report — 2026-07-15Automated lint: 26 errors, 6728 warnings, 3 info→19 Jul 2026Wiki Lint Report — 2026-07-19Automated lint: 20 errors, 8743 warnings, 3 info→11 Aug 2026What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md FilesarXiv:2608.08453v1 Announce Type: new Abstract: Under the current standard, Agent Skills are SKILL.md files that combine instructions with supporting resources, enabling Large Language Model (LLM) age