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anomalyco
opencode
TypeScript2025–2026
anomalyco / opencode

opencode

The open source coding agent.

129Distinct people
156Mentions
1Explicit recommenders
226.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The open source coding agent.

GitHub

Where it is used

What people are saying

> The recent Kimi-K2 supposedly works great. My own experience is that it is below sonnet and opus 4.0 on capability - but better than gemini 2.5 pro on tool calling. It's…

nikcub used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

Critical Commenters criticize the project for a lack of developer responsiveness to issues and cite specific security regressions in version 2. Another comment mentions legal requests associated with the repository.

A warning from this week’s discussion. Read the supporting reply

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Critical

Commenters criticize the project for a lack of developer responsiveness to issues and cite specific security regressions in version 2. Another comment mentions legal requests associated with the repository.

Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · 3 discussions summarized

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 7:02:50 PM UTC.

Goodbye Claude, hello Pi direct repository linkDebated

Developers are divided between migrating to third-party harnesses like Pi for their customizability and control, versus staying with native tools like Claude Code due to concerns about stability, security, and vendor restrictions. The strongest disagreement centers on whether the flexibility of open-source harnesses outweighs the operational risks of manual configuration and potential Terms of Service violations.

493 readable replies · Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · Supporting reply 4
Why I will not be using LLMs in my coding direct repository linkDebated

The conversation debates the viability of LLMs in coding, contrasting arguments that they boost productivity with concerns about non-deterministic reliability and skill atrophy. Critics question the universal success claims of top programmers using AI, while others highlight the inherent unpredictability of LLM outputs as a fundamental flaw.

243 readable replies · Supporting reply 1 · Supporting reply 2

Showing the three threads with the most distinct people linking this repo, from 6 threads this week.

Mentions over time

HN mentions by month156 dated mentions

Observed mentions: 2025-05-14 19:57:58 UTC to 2026-10-25 06:50:10 UTC.

01020302025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 20252025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 3 mentions; 3 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 15 mentions; 2 submissions, 13 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 21 mentions; 3 submissions, 18 commentsJan 20262026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 6 mentions; 2 submissions, 4 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 25 mentions; 3 submissions, 22 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 11 mentions; 1 submissions, 10 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 13 mentions; 3 submissions, 10 comments2026-09-01 00:00:00 UTC to 2026-10-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2026-10-01 00:00:00 UTC to 2026-11-01 00:00:00 UTC (exclusive): 26 mentions; 1 submissions, 25 commentsOct 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC110
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC330
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC15213
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC808
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC101
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC211
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC606
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC202
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC21318
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC624
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC25322
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC404
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC514
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC404
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC11110
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC13310
Sep 20262026-09-01 00:00:00 UTC2026-10-01 00:00:00 UTC312
Oct 20262026-10-01 00:00:00 UTC2026-11-01 00:00:00 UTC26125

What Hacker News says

4 sources
> DeepSeek costs $0.435/0.87/0.003625 for 1M in/out/cached tokens, compared to an equivalent of $1.74/3.48/0.0145 under the OpenCode Go plan, almost exactly 4x. Folks who have noticed this have raised public concern, but I don't think the team has ever responded (there's 5k open issues, so I don't blame them for not triaging): https://github.com/anomalyco/opencode/issues/28846 Even so, after reading your comment, it makes me uncomfortable advocating spending on more OpenCode Go subs for the team.
In There is minimal downside to switching to open models
I use PI ( https://pi.dev ) and ( https://hermes-agent.nousresearch.com/ ) as the main drivers together with deepseek-v4-pro as the main model (~10M/day tokens overall there). Hermes basically rules my personal life at this point - it is a _very_ useful personal assistant. I also use it at work (integrated at Slack) and at this point it answers most of both my emails and slack messages (I calibrated https://github.com/blader/humanizer with a large corpus of my own voice to make it less annoying for the others). My routine now involving walking in circles while exchanging messages with hermes directing it how to answer this or that... Hermes uses an llm-wiki ( https://gist.github.com/karpathy/442a6bf555914893e9891c11519... ) as a source of information when drafting suggested replies - I have a cronjob that feeds it all emails, slack messag
Read the rest
es, meeting minutes every single day. Claude Code with Opus 4.6 for multimodal/vision, design and writing tasks ("Create a crisp memo from this meeting transcription" is a prompt that will bring great results with either Opus 4.6 or GLM-5.1) - very recently I started to use https://github.com/anomalyco/opencode occasionally with opus models too (I am forcing myself a little bit because it is hard to help people with a tool you are unfamiliar with). For building software automatically I currently use one of the harness above for for launching https://tamandua-tetradactyla.nfshost.com/ feature-dev-merge-worktree runs (it provides workflows on top of PI+deepseek). Where it comes from: until recently I used https://steve-yegge.medium.com/welcome-to-gas-town-4f25ee16d... for automatic software building but while planning an AI bootcamp I concluded that teaching Gas Town along with everything else would be impossible (too hard/complex), and decided to teach https://github.com/snarktank/antfarm instead but did not want to add OpenClaw as one more dependency - so I built Tamandua ( https://github.com/igorhvr/tamandua ) and I ended up using it all the time! I now every single day before going to sleep launch a couple of runs and it is very cool waking up to see them done. For autoresearch-like, optimization, and other tasks with a very clear measurable goal (such as increasing test coverage, changing things from one programming language to another, etc) I use https://github.com/davebcn87/pi-autoresearch (100% of the time on top of deepseek-v4-pro). For debugging or very hard problems I use codex w/ GPT5.5. I don´t like its personality (lazy) but I do think it is smartest model available. As evidence, here is a commit of a problem where I tried Opus 4.8, Deepseek-v4-pro and a couple of other models and they all failed to understand what the bug was: https://github.com/NousResearch/hermes-agent/pull/38198/chan... - once the bug was found within codex I launched from it a tamandua bug-fix-merge-worktree run on top of deepseek-v4-pro that created the commit itself... As a web application I use OpenWebUI and I am specially fond of the notes feature ( https://docs.openwebui.com/features/notes/ ) which I did not find anywhere else. Last but not least, I love playing with local models. https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct is my current favorite for coding and deepseek-r1 for general tasks. I also started yesterday testing https://github.com/antirez/ds4 - it works _very_ well from what I could see so far. What comes next? Trying to figure out what is the "deepseek-v4-pro of multimodal" model (frontier performance, efficient/comparatively cheap to run, support for image/audio/video/etc). Currently using kimi-k2.6, will test Minimax M3 soon. Ah, almost forgot: https://huggingface.co/microsoft/VibeVoice-ASR will give you AMAZINGLY good meeting transcriptions (my hermes vibecoded a program to use it). Seriously, night and day difference from what the big players provide natively in their platforms. Have 8 people talking in 3 different languages? No problem - you will need a bit of patience and beefy hardware, only..
In Ask HN: What is your (AI) dev tech stack / workflow?

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