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Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

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Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#11

Post by mrlesk »

bearjaws wrote: post #3

Like the idea of a self hosted kanban in git, one item you should do in your repo is add the installation instructions to the readme :) I see its a TS app so I am sure the bun bundle is the install, but always good to include in your 5 min intro.

You’re absolutely right

Joking aside there is a npm/bun install -g backlog.md at the top but I can add an extra one in the 5 min intro.

I am using Bun’s new fullstack single file builds. I’m really impressed by how easy it was to set up everything.

Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#12

Post by mrlesk »

mitjam wrote: post #6
mrlesk wrote: post #2

I threw Claude Code at an existing codebase a few months back and quickly quit— untangling its output was slower than writing from scratch. The fix turned out to be process, not model horsepower. Iteration timeline ================== • 50 % task success - added README.md + CLAUDE.md so the model knew the project. • 75 % - wrote one markdown file per task; Codex plans, Claude codes. • 95 %+ - built Backlog.md, a CLI t…

Really love this. Would love to see an actual end to end example video of you creating, planning, and implementing a task using your preferred models and apps.

Will definitely do. I am also planning to run a benchmark with various models to see which one is more effective at building a full product starting from a PRD and using backlog for managing tasks

Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#13

Post by bazooka5798 »

mrlesk wrote: post #12
mitjam wrote: post #6

Earlier quoted context omitted.

Really love this. Would love to see an actual end to end example video of you creating, planning, and implementing a task using your preferred models and apps.

Will definitely do. I am also planning to run a benchmark with various models to see which one is more effective at building a full product starting from a PRD and using backlog for managing tasks

I'd love to see openRouter connectivity to try non Claude models for some of the planning parts of the cycle.

Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#14

Post by unshavedyak »

mrlesk wrote: post #2

I threw Claude Code at an existing codebase a few months back and quickly quit— untangling its output was slower than writing from scratch. The fix turned out to be process, not model horsepower. Iteration timeline ================== • 50 % task success - added README.md + CLAUDE.md so the model knew the project. • 75 % - wrote one markdown file per task; Codex plans, Claude codes. • 95 %+ - built Backlog.md, a CLI t…

Would love more detail on your integration with claude. Are you telling claude to use backlog to plan X task? Feels like some MCP integration or something might make it feel more native?

Though i've not had much luck in getting Claude to natively use MCPs, so maybe that's off base heh.

Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#15

Post by ttoinou »

Seems like a great idea. How would that work with multiple branches ? One task might be implemented in a different branch, we might want to have a global overview of all the tasks being coded in the main branch

  All data is saved under backlog folder as human‑readable Markdown with the following format task- - .md (e.g. task-12 - Fix typo.md).
If every "task" is one .md file, I believe AI have issues editing big files, it can't easily append text to a big file due to context window, we need to force a workaround launching a command line to append text instead of editing a file. So this means the tasks have to remain small, or we have to avoid putting too much information in each task.

Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#16

Post by westurner »

mrlesk wrote: post #12
mitjam wrote: post #6

Earlier quoted context omitted.

Really love this. Would love to see an actual end to end example video of you creating, planning, and implementing a task using your preferred models and apps.

Will definitely do. I am also planning to run a benchmark with various models to see which one is more effective at building a full product starting from a PRD and using backlog for managing tasks

Is there an established benchmark for building a full product?

- SWE-bench leaderboard: https://www.swebench.com/

- Which metrics for e.g. "SWE-Lancer: a benchmark of freelance software engineering tasks from Upwork"? https://news.ycombinator.com/item?id=43101314

- MetaGPT, MGX: https://github.com/FoundationAgents/MetaGPT :

> Software Company as Multi-Agent System

> MetaGPT takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc. Internally, MetaGPT includes product managers / architects / project managers / engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.

- Mutation-Guided LLM-based Test Generation: https://news.ycombinator.com/item?id=42953885

- https://news.ycombinator.com/item?id=41333249 :

- codefuse-ai/Awesome-Code-LLM > Analysis of AI-Generated Code, Benchmarks: https://github.com/codefuse-ai/Awesome-Code-LLM :

> 8.2 Benchmarks: Integrated Benchmarks, Evaluation Metrics, Program Synthesis, Visually Grounded Program, Synthesis, Code Reasoning and QA, Text-to-SQL, Code Translation, Program Repair, Code Summarization, Defect/Vulnerability Detection, Code Retrieval, Type Inference, Commit Message Generation, Repo-Level Coding

- underlines/awesome-ml/tools.md > Benchmarking: https://github.com/underlines/awesome-ml/blob/master/llm-too...

- formal methods workflows, coverage-guided fuzzing: https://news.ycombinator.com/item?id=40884466

- "Large Language Models Based Fuzzing Techniques: A Survey" (2024) https://arxiv.org/abs/2402.00350

Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#17

Post by tptacek »

This is a good idea. But the screenshots you have show lots of tasks in a project; how are you dispatching tasks (once planned) to an agent, and how are agents navigating the large number of markdown task content you're producing without blowing out their context budget?

Re: Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo

#18

Post by jedimastert »

Can we change the title to include that this is a tool for AI? I thought it was just gonna be a visualizer.

The tagline from the repo seems fine: "A tool for managing project collaboration between humans and AI Agents in a git ecosystem"

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