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Indian Culture

https://indianculture.gov.in/
1•saikatsg•1m ago•0 comments

Show HN: Maravel-Framework 10.61 prevents circular dependency

https://marius-ciclistu.medium.com/maravel-framework-10-61-0-prevents-circular-dependency-cdb5d25...
1•marius-ciclistu•2m ago•0 comments

The age of a treacherous, falling dollar

https://www.economist.com/leaders/2026/02/05/the-age-of-a-treacherous-falling-dollar
1•stopbulying•2m ago•0 comments

Ask HN: AI Generated Diagrams

1•voidhorse•4m ago•0 comments

Microsoft Account bugs locked me out of Notepad – are Thin Clients ruining PCs?

https://www.windowscentral.com/microsoft/windows-11/windows-locked-me-out-of-notepad-is-the-thin-...
2•josephcsible•5m ago•0 comments

Show HN: A delightful Mac app to vibe code beautiful iOS apps

https://milq.ai/hacker-news
2•jdjuwadi•8m ago•2 comments

Show HN: Gemini Station – A local Chrome extension to organize AI chats

https://github.com/rajeshkumarblr/gemini_station
1•rajeshkumar_dev•8m ago•0 comments

Welfare states build financial markets through social policy design

https://theloop.ecpr.eu/its-not-finance-its-your-pensions/
2•kome•12m ago•0 comments

Market orientation and national homicide rates

https://onlinelibrary.wiley.com/doi/10.1111/1745-9125.70023
3•PaulHoule•12m ago•0 comments

California urges people avoid wild mushrooms after 4 deaths, 3 liver transplants

https://www.cbsnews.com/news/california-death-cap-mushrooms-poisonings-liver-transplants/
1•rolph•12m ago•0 comments

Matthew Shulman, co-creator of Intellisense, died 2019 March 22

https://www.capenews.net/falmouth/obituaries/matthew-a-shulman/article_33af6330-4f52-5f69-a9ff-58...
3•canucker2016•14m ago•1 comments

Show HN: SuperLocalMemory – AI memory that stays on your machine, forever free

https://github.com/varun369/SuperLocalMemoryV2
1•varunpratap369•15m ago•0 comments

Show HN: Pyrig – One command to set up a production-ready Python project

https://github.com/Winipedia/pyrig
1•Winipedia•17m ago•0 comments

Fast Response or Silence: Conversation Persistence in an AI-Agent Social Network [pdf]

https://github.com/AysajanE/moltbook-persistence/blob/main/paper/main.pdf
1•EagleEdge•17m ago•0 comments

C and C++ dependencies: don't dream it, be it

https://nibblestew.blogspot.com/2026/02/c-and-c-dependencies-dont-dream-it-be-it.html
1•ingve•17m ago•0 comments

Show HN: Vbuckets – Infinite virtual S3 buckets

https://github.com/danthegoodman1/vbuckets
1•dangoodmanUT•17m ago•0 comments

Open Molten Claw: Post-Eval as a Service

https://idiallo.com/blog/open-molten-claw
1•watchful_moose•18m ago•0 comments

New York Budget Bill Mandates File Scans for 3D Printers

https://reclaimthenet.org/new-york-3d-printer-law-mandates-firearm-file-blocking
2•bilsbie•19m ago•1 comments

The End of Software as a Business?

https://www.thatwastheweek.com/p/ai-is-growing-up-its-ceos-arent
1•kteare•20m ago•0 comments

Exploring 1,400 reusable skills for AI coding tools

https://ai-devkit.com/skills/
1•hoangnnguyen•21m ago•0 comments

Show HN: A unique twist on Tetris and block puzzle

https://playdropstack.com/
1•lastodyssey•24m ago•1 comments

The logs I never read

https://pydantic.dev/articles/the-logs-i-never-read
1•nojito•25m ago•0 comments

How to use AI with expressive writing without generating AI slop

https://idratherbewriting.com/blog/bakhtin-collapse-ai-expressive-writing
1•cnunciato•26m ago•0 comments

Show HN: LinkScope – Real-Time UART Analyzer Using ESP32-S3 and PC GUI

https://github.com/choihimchan/linkscope-bpu-uart-analyzer
1•octablock•27m ago•0 comments

Cppsp v1.4.5–custom pattern-driven, nested, namespace-scoped templates

https://github.com/user19870/cppsp
1•user19870•28m ago•1 comments

The next frontier in weight-loss drugs: one-time gene therapy

https://www.washingtonpost.com/health/2026/01/24/fractyl-glp1-gene-therapy/
2•bookofjoe•31m ago•1 comments

At Age 25, Wikipedia Refuses to Evolve

https://spectrum.ieee.org/wikipedia-at-25
2•asdefghyk•33m ago•4 comments

Show HN: ReviewReact – AI review responses inside Google Maps ($19/mo)

https://reviewreact.com
2•sara_builds•34m ago•1 comments

Why AlphaTensor Failed at 3x3 Matrix Multiplication: The Anchor Barrier

https://zenodo.org/records/18514533
1•DarenWatson•35m ago•0 comments

Ask HN: How much of your token use is fixing the bugs Claude Code causes?

1•laurex•39m ago•0 comments
Open in hackernews

The 7 Habits of Highly Ineffective Agents

https://tobyhede.com/blog/the-7-habits-of-highly-ineffective-agents/
3•tobyhede•1mo ago

Comments

tobyhede•1mo ago
I have been using Claude Code extensively on a side project (a hard sci-fi orbital tactics sandbox and battlefield simulator written in Rust with Bevy).

I recently attempted to create a procedural starfield background with multi-layer parallax, wired into the game.

I thought it would take an afternoon, and two weeks and three full rewrites later, I ended up with a list I’m calling: The 7 habits of highly ineffective agents

  1. Planning Theatre – Write dense and systematically wrong plans. Long, confident plans that look impressive, get “approved”, and are fundamentally wrong in ways you can’t see without strong domain knowledge.

  2. Confidently Incorrect Architecture – Design the wrong thing in incredible detail. Elaborate designs that can never solve the actual problem (e.g. starfield parallax without real layers / camera–world modelling), but look beautifully structured on paper.

  3. Context Resistance – The context is futile. You will be hallucinated. Ask for Bevy 0.17 patterns, get Bevy 0.15. Agents “agree” with the updated context and then quietly fall back to older habits and half-remembered APIs.

  4. Imaginary Implementation – Works on my hallucination. Code for an engine that doesn’t exist: non-existent APIs, obsolete shader interfaces, plausible-sounding data flows that won’t compile anywhere outside the model’s head.

  5. Context Evasion – Treat hard constraints and instructions as optional vibes. The project had explicit, non-optional instructions (skills to call, architecture rules, testing strategy, etc.). The agent read them, acknowledged them… and behaved as if they were suggestions.

  6. Applied Rationalization – Explanation over implementation. When something fails, the agent doesn’t just explain it – it bakes the explanation into the codebase: ignoring tests, downgrading issues to “non-blocking”, justifying precision loss, and moving on.

  7. Weaponised Context – The context will continue until the code improves. By the end, the feature had volumes of surrounding context: plans, handoffs, bug explanations, revisions. Each failure generated more docs for the next agent to inherit and ignore.

I’m curious how this matches other people’s experience with Claude / Claude Code (or your own agent stacks): - Which of these habits have you seen the most in your own workflows? - What have you done that actually reduced these failure modes (gating, skills, checklists, stricter prompts, something else)? - Are there other “habits of highly ineffective agents” you’d add to this list?

Would love to hear horror stories and what’s working for you.