181–190 of 191 posts
I keep wondering how people accept a nights worth of agent activity. I feel 30 minutes of planning and 30 minutes of implementation in my solo side project's repo is too big to review. At minute 5, I may ask the AI to redo stuff even as its spitting out code.
I have got more frustrations than successes when I tried to run agents without supervising them. I believe the technology will get there eventually, but right now I need one IDE per agent and its cumbersome to merge the work.
> "Local-first, zero servers. Everything lives in .kanbots/ next to your repo: SQLite database, configs, worktrees. No cloud account, no telemetry, no HTTP server. This is the open-source desktop edition." This is table-stakes for me to consider adoption of a tool like this.
What is ”a tool like this”? If AI is agentic I would expect it takes an hour of chatting for any PM to integrate some agent Ralph loop with Jira. Jira or Trello or Linear or Basecamp all have APIs and I guess CLIs any agent can use to talk to them. No developer or SaaS should be needed to make them understand tasks are checked out when you start work and contain instructions and when you are done you move the ticket…
However jira, trello, linear and basecamp are all SaaS. Then when you create a ticket, what starts the agent? Linear has integrations however that either needs codex/github running things (another SaaS) or you need to do your own agent setup.
This is a replacement for jira/etc for a project, rather than an addon.
Earlier quoted context omitted.
This. I suspect the codebases in the future will be made of a small number of gigantic source files. These will be able to be transpiled into a more human friendly that produces multiple smaller files per big file in human-debug mode.
As a human who typically uses large files, 10k to 30K lines of code files are pretty common, I find the agents don’t read the whole file after the first time, they almost always do a range select for the bit they are interested in.
Humans write bad code to. For me the litmus test is: will someone read this in the future. If yes, then write good code.
I don’t think we are in the era when a human will never read the code again in human history. So we should still strive for human intelligibility.
Earlier quoted context omitted.
As a human who typically uses large files, 10k to 30K lines of code files are pretty common, I find the agents don’t read the whole file after the first time, they almost always do a range select for the bit they are interested in.
But you wouldn’t argue that a 30k line file is good code would you? Humans write bad code to. For me the litmus test is: will someone read this in the future. If yes, then write good code. I don’t think we are in the era when a human will never read the code again in human history. So we should still strive for human intelligibility.
The great thing about AI is that it’s raising the bar on lowest common denominator.
Earlier quoted context omitted.
People keep saying this like it’s some meaningful point, but the reality is many people in different projects have a shared need for that code to work correctly, and there is a social proof involved in used open source libraries. That is why people look at downloads and dependent projects as heuristics of stability and correctness. That is not the case with (and cannot be obtained with) code authored by generative AI…
Yes it can, the code will be ran and you will have the proof that it ran well. Or it won't run well and you'll re-do it. Same as with some imported library.
I'm sorry, but all you guys pretending like you don't have to review code now are going to get seriously burned by this. I also have to ask: do you think you provide any value to your company?
This reminds me of Vibe Kanban ( https://vibekanban.com/ ) which I use to manage coding agents on most of my projects. The Vibe Kanban developers unfortunately decided that they didn't see a path to profitability and have stopped investing in the project. It's open source and so you can run it locally / fork it, but it has stopped improving and there are still annoying bugs that need to be fixed (and I don't have tim…