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Dimon's 'cockroaches' to the BlueOwl freeze: Stress spreading in private credit

https://www.cnbc.com/2026/02/24/private-credit-3-trillion-boom-bankruptcies-fraud-blue-owl-redemp...
1•zerosizedweasle•55s ago•0 comments

Meta executive warned Facebook Messenger encryption plan was 'so irresponsible'

https://www.reuters.com/legal/government/meta-executive-warned-facebook-messenger-encryption-plan...
1•c420•1m ago•0 comments

The reason to avoid the damp in the morning

https://dreamhomestore.co.uk/collections/chest-of-drawers
1•Emmasahota97•4m ago•2 comments

The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•sideway•4m ago•0 comments

OpenAI resets spending expectations. Compute target is around $600B by 2030

https://www.cnbc.com/2026/02/20/openai-resets-spend-expectations-targets-around-600-billion-by-20...
2•dnw•7m ago•0 comments

Ask HN: What should be done to prevent world control by pedo-rings of satanists

1•julienreszka•9m ago•0 comments

Under water, in denial: is Europe drowning out the climate crisis?

https://www.theguardian.com/news/ng-interactive/2026/feb/21/under-water-in-denial-is-europe-drown...
1•xbmcuser•15m ago•0 comments

Speeding up HTML generation by 2000%

https://bobrubbens.nl/post/speeding-up-html-generation-2000/
1•todsacerdoti•16m ago•0 comments

Show HN: Notion-CLI – Full Notion API from the terminal, 39 commands, one binary

https://github.com/4ier/notion-cli
1•4ier•21m ago•0 comments

Apple Plans to Manufacture Mac Mini in Houston

https://www.wsj.com/tech/apple-plans-to-manufacture-mac-mini-in-houston-c9b4c23c
1•7777777phil•21m ago•0 comments

Rows will be joining Superhuman

https://rows.com/blog/post/rows-is-joining-superhuman
1•soheilpro•22m ago•0 comments

Show HN: A Claude Code hook that sends you to bed

https://github.com/ElleNajt/agent-bedtime
1•ellenajt•24m ago•0 comments

Ask HN: How do you prove a privileged infra change ran as approved?

1•ahmedmostafa16•24m ago•0 comments

Claude Code to Figma: The Complete Guide to AI Driven Product Design Workflows

https://manojgopanapalli.substack.com/p/claude-code-to-figma-the-complete
2•thecontentboy•25m ago•1 comments

Tracking NixOS option values and dependencies

https://oddlama.org/blog/tracking-options-in-nixos/
1•birdculture•26m ago•0 comments

Show HN: Suplex – All-in-one cold email (leads, sending, CRM)

https://www.trysuplex.com
1•machomillions•27m ago•0 comments

Tim Paterson

https://en.wikipedia.org/wiki/Tim_Paterson
1•keepamovin•27m ago•0 comments

Improving Deep Agents with Harness Engineering

https://twitter.com/Vtrivedy10/status/2023805578561060992
1•gmays•29m ago•0 comments

Computer-Using World Model

https://arxiv.org/abs/2602.17365
1•steamboatwillie•30m ago•0 comments

Situated Software

https://gwern.net/doc/technology/2004-03-30-shirky-situatedsoftware.html
1•ustad•31m ago•0 comments

Show HN: Pragmatica Aether – a distributed Java runtime that replaces Kubernetes

https://github.com/pragmaticalabs/pragmatica
1•siy•33m ago•0 comments

The Future of Agentic Computing

https://www.cjroth.com/blog/2026-02-23-the-future-of-agentic-computing
1•thoughtfulchris•34m ago•0 comments

Wealthy spouses are hiding crypto assets in divorce cases, say lawyers

https://www.ft.com/content/df01cdb5-aac8-4d41-bbd8-56a198694394
3•mmarian•37m ago•0 comments

Show HN: Scheme-langserver – Digest incomplete code with static analysis

https://github.com/ufo5260987423/scheme-langserver
1•ufo5260987423•39m ago•0 comments

Work experience kids messed with manager's PC to send him to Ctrl-Alt-Del hell

https://www.theregister.com/2026/02/23/who_me/
1•vismit2000•46m ago•0 comments

NASA's Perseverance Now Autonomously Pinpoints Its Location on Mars

https://www.nasa.gov/missions/mars-2020-perseverance/perseverance-rover/nasas-perseverance-now-au...
1•pieterr•48m ago•0 comments

Everyone in AI is building the wrong thing for the same reason

https://www.joanwestenberg.com/everyone-in-ai-is-building-the-wrong-thing-for-the-same-reason/
4•pmg101•51m ago•1 comments

DJI Romo's MQTT broker had no ACLs – one token, 7k home cameras

https://www.theverge.com/tech/879088/dji-romo-hack-vulnerability-remote-control-camera-access-mqtt
1•bakibab•54m ago•0 comments

Anthropic: AI helps break the cost barrier to COBOL modernization

https://claude.com/blog/how-ai-helps-break-cost-barrier-cobol-modernization
2•aquir•56m ago•2 comments

"Just a little detail that wouldn't sell anything"

https://unsung.aresluna.org/just-a-little-detail-that-wouldnt-sell-anything/
3•bobbiechen•59m ago•0 comments
Open in hackernews

Show HN: Build Your Own CLI Coding Agent in Python

https://github.com/primaprashant/alduin
1•primaprashant•2h ago
Ran a hands-on workshop in Tokyo where ~50 engineers built a CLI coding agent from scratch in Python and now, I've converted it into a self-paced exercise.

GitHub Repo: https://github.com/primaprashant/alduin

This should help in getting a better understanding of what goes on inside the coding agents. You will iteratively implement the core agent loop present in all coding agents like Claude Code and Codex starting from a skeleton repo with a basic input loop and no LLM. Over 7 phases, you will add the Anthropic API and implement tools (read file, edit file, bash). Each phase has hints and a reference implementation if you get stuck.

Should take ~3-5 hours and in the end, you'll have your own coding agent which you can use on other project and codebases as well.

Feedback and PRs welcome. Happy to answer any questions.

Comments

umairnadeem123•1h ago
this is a great teaching resource. building an agent from scratch really demystifies whats happening inside tools like claude code. the core loop is surprisingly simple - its just read prompt, call LLM with tools, execute tool calls, loop. all the complexity is in the details: how you manage context window limits, how you handle tool errors gracefully, and how you prevent the agent from going in circles.

one thing worth adding as a phase 8 or bonus: context window management. the naive approach of appending every tool result to the conversation history blows up fast when the agent reads large files. implementing summarization or truncation strategies is where most real-world agent engineering time goes.