Exercism Reviews

opencode Reviews

Exercism mentions (318)

• AI made me lazy. I didn’t notice until it was too late.

  Exercism.org structured deliberate practice, no AI required. - Source: dev.to / 3 months ago

• Free Python Resources

  Providing free coding exercises and mentorship, Exercism helps developers practice and improve their programming skills step by step. Their Python Track offers a series of exercises that guide learners from beginner to more advanced levels. - Source: dev.to / 6 months ago

• Collaboration Circles for Developers (2026)

  Exercism is a code practice + mentoring platform in 74 languages. Why it can work: although it is not exclusively focused on groups of five, its mentoring and peer review model allows forming mini-circles where participants give each other mutual feedback. Limitation: it is not originally intended as a "venting circle" (My favorite), but more technical-practical. - Source: dev.to / 8 months ago

• Cracking Blackjack with Go: A Step-by-Step Guide to Your First Move

  Keep practicing, keep coding, and most importantly—have fun with it! If you enjoyed this exercise, explore more challenges on exercism to continue building your Go skills. As always, you can find the complete code in my GitHub repo: https://github.com/RubenOAlvarado/algorithms. - Source: dev.to / 9 months ago

• Ask HN: What book should my CS1 students read?

  (concepts/topics) : The New Turing Omnibus, 66 Excursions in Computer Science[1] Code Complete [2] Debugging The 9 Indispensable Rules of Finding Even the Most Elusive Software and Hardware Problems [3] Code: The Hidden Language of Computer Hardware and Software [4] -- backround stories on how 'computer' things came to be -------- [1] : https://www.amazon.com/New-Turing-Omnibus-Sixty-Six-Excursions/dp/0805071660... - Source: Hacker News / about 1 year ago

opencode mentions (67)

• ZCode: Claude Code from the Makers of GLM

  Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / 21 days ago

• AI for Less Popular Programming Languages

  OpenCode with GLM 5.2 wrote custom Emacs Lisp to pinpoint within the file where the missing or extra bracket could be. It rewrote the custom code to check various parts of the file. Each of those is a tool use and many, many tokens burned. The next step is to turn those custom scripts written by the AI agent into a tool to speed up the process, or a skill that shows how to use other tools to speed up the process. - Source: dev.to / 23 days ago

• How to Run Reliable Local LLM Agents on an RTX 3090: A Benchmark (5 Models, Priced in Watts)

  I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% — never edited a single file. - Source: dev.to / 24 days ago

• The head chef model of AI collaboration

  Set up your stations. I work in two Ghostty terminals. The left side is for planning and viewing, the right for synchronous agents running through OpenCode. - Source: dev.to / about 1 month ago

• Testing GLM-5.2 on OpenCode: I'm impressed!

  If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / about 1 month ago