Hacker News

Top stories

Live mirror
30 storiesupdated just nowView source snapshot
  1. Training a 4B model to produce 81% faster query plans than Postgres(rohanbansal.com ↗)
    33comments
  2. Xiaomi Mimo 2.6 live post-training dashboard(xiaomi.com ↗)
    27comments
  3. macOS 27 Golden Gate – Review(arstechnica.com ↗)
    31comments
  4. Small programming tricks(will-keleher.com ↗)
    153comments
  5. Breaking the 1.58-bit Barrier for Ternary LLMs(arxiv.org ↗)
    discuss
  6. Accurate Models of AMD Matrix Cores(arxiv.org ↗)
    5comments
  7. Reversing Factorio's RNG(gegell.github.io ↗)
    5comments
  8. Vectorized and performance-portable Quicksort (2022)(googleblog.com ↗)
    24comments
  9. Performance Improvements in .NET 11(devblogs.microsoft.com/dotnet ↗)
    3comments
  10. How good are frontier models at physics?(arxiv.org ↗)
    12comments
  11. AWS says it can't restore some data from mideast facilities struck by Iran(wsj.com ↗)
    13comments
  12. Dream-RSI: Recursive Self-Improvement through Evolving Worlds(arxiv.org ↗)
    48comments
  13. Anatomy of a Texture(agentlien.github.io ↗)
    9comments
  14. WalShadow: Sub-second Postgres replication to ClickHouse from physical WAL(clickhouse.com ↗)
    2comments
  15. Mistral X Mozilla: Private, Multilingual AI Browsing(mistral.ai ↗)
    178comments
  16. Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations(github.com/arnegiacomo ↗)
    234comments
  17. The Siberian Ice Maiden and the Scythian World(patrickwyman.substack.com ↗)
    1comments
  18. Japan's book scene is moving from bookstores to libraries(untranslatedjp.substack.com ↗)
    1comments
  19. Anecdotally, programmers dislike "reduce"(evanhahn.com ↗)
    72comments
  20. Training Text-to-Image Models 3.6× Faster(linum.ai ↗)
    1comments
  21. Show HN: Restarted – a 2026 remake of the classic 2015 startup generator(restarted.io ↗)
    1comments
  22. Tell the speakers that you liked their talks(ohhelloana.blog ↗)
    69comments
  23. Show HN: AttaLambda: a language where types and data are made of untyped lambdas(attalambda.com ↗)
    discuss
  24. A warning about 'model welfare'(mustafa-suleyman.ai ↗)
    402comments
  25. Kyber (YC W23) Is Hiring a Forward Deployed Engineer(ycombinator.com ↗)
    discuss
  26. The DeepMind Institute(deepmind.com ↗)
    33comments
  27. Claude Cowork and chat are now one Claude(claude.com ↗)
    184comments
  28. Douglas Adams and the exterminated Doctor Who adventure(bbc.co.uk ↗)
    62comments
  29. How big are factorials?(thegreenplace.net ↗)
    30comments
  30. Randomized query complexity can beat certificate complexity(arxiv.org ↗)
    discuss

Show HN: Friday – Self-hosted persistent memory for AI coding agents (MCP)

7 pointsby 2h agogithub.com
2 comments
2h agoHN ↗

While the idea of improving codebase search and documentation has some merit, any modern coding agent harness does not have the problem of starting each session blankly and giving generic advice. The actual issue that I have experienced is that it will waste tokens re-reading the codebase over and over again to understand your query, although you can mitigate that by proper use of AGENTS.md and documentation.

But more importantly, is it too much effort to write the readme yourself? Or at least to ask the AI to rewrite it so that it doesn't have all the tell-tale signs of AI slop?

1h agoHN ↗

How many times do we need to solve this problem using glue and hacks?