I just have it write a checklist file in /tmp (or a todo folder if I want to keep it), and check off items as it finishes them. Seems to work fine. Is this really needed?
/tmp? What happens when you reboot?
OpenSpec – A lightweight and configurable AI spec framework
41–50 of 71 posts
Re: OpenSpec – A lightweight and configurable AI spec framework
#42Re: OpenSpec – A lightweight and configurable AI spec framework
#43Haven’t we moved on from these things? Most recent LLMs have been trained on enough long context tasks to have become pretty good at planning. Perhaps with contributions from the harness. In either case, I wouldn’t bother if I were using Codex or Claude Code.
Re: OpenSpec – A lightweight and configurable AI spec framework
#44Haven’t we moved on from these things? Most recent LLMs have been trained on enough long context tasks to have become pretty good at planning. Perhaps with contributions from the harness. In either case, I wouldn’t bother if I were using Codex or Claude Code.
That's what I thought too. I used speckit quite a bit before and I've had mixed results at best. You are just moving ambiguity and code review from one place to another without really gaining anything.
Re: OpenSpec – A lightweight and configurable AI spec framework
#45Re: OpenSpec – A lightweight and configurable AI spec framework
#46This is my first time seeing openspec, and it seems to share a similar philosophy to what I've been working on this year. If you like this / SDD, I'd appreciate your feedback: https://github.com/spekk-ai/spekk-cli Similar iterative specs philosophy. Ours is a bit different because we focus on declarative specs and installable agent skills. We chose Go for simplicity and minimal requirements (single binary).
Ive wondered if I have too much complexity, and from time to time I do a "prompt astrology reset" where I get rid of all the extra cruft. I can't go without the spec sheets though.
Re: OpenSpec – A lightweight and configurable AI spec framework
#47Also, this looks like something which leadership level folks need to adopt first and then somehow it needs to trickle down to PI planning and sprint planning. Would like to hear someone's experience on how this has got adopted in their org.
Re: OpenSpec – A lightweight and configurable AI spec framework
#48Looks like this will be a hard sell for many orgs who are already struggling with explosion of artifacts on JIRA, sharepoint, github, etc. Also, most of them have somewhat settled on some ways (in past 6-8 months) to produce AI first specs and work with them. Also, this looks like something which leadership level folks need to adopt first and then somehow it needs to trickle down to PI planning and sprint planning. W…
Basically the flow proposal -> design -> specs -> tasks gives you and AI a method to build context on what you want to achieve. In a way you're just creating a plan/big prompt that is structured in such a way that they start stacking on each other.
The power is that you do a lot of upfront thinking. In my team we then share it with a colleague who will review it through a PR. After that implementation is usually hands off. At the end there is a skill to verify the change against specs. I do still review the code myself too.
I guess if you work in a task oriented environment this will not work as well, as you'd lack/don't care about the business context. I'd like to think that most software development does not happen like this, but is done by engineers who actually understand why something is needed and take that into account when designing and building the solution.
Re: OpenSpec – A lightweight and configurable AI spec framework
#49This section https://openspec.dev/docs/setup links to "Concepts" Concepts links here: https://github.com/Fission-AI/OpenSpec/blob/main/docs-lab/gu... All the docs here are the templates rather than the actual file (I presume: https://github.com/Fission-AI/OpenSpec/blob/main/docs/concep... ) Somehow not very confidence inspiring...
Re: OpenSpec – A lightweight and configurable AI spec framework
#50Looks like this will be a hard sell for many orgs who are already struggling with explosion of artifacts on JIRA, sharepoint, github, etc. Also, most of them have somewhat settled on some ways (in past 6-8 months) to produce AI first specs and work with them. Also, this looks like something which leadership level folks need to adopt first and then somehow it needs to trickle down to PI planning and sprint planning. W…