HN user

wek

292 karma

I'm a CEO/co-founder for https://nimbalyst.com which is the the visual workspace for building with Codex, Claude Code where you maximize the bandwidth of your collaboration with your agents. Nimbalyst is a session manager and visual editor for markdown, mockups, drawings, sessions, and tasks.

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arxiv.org 25d ago

Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering

wek
2pts0
arxiv.org 1mo ago

Configuring Agentic AI Coding Tools: An Exploratory Study

wek
3pts0
nimbalyst.com 1mo ago

Building the harness around our coding agents. Eight failure modes and pillars

wek
3pts0
arxiv.org 1mo ago

Constraint Decay: The Fragility of LLM Agents in Back End Code Generation

wek
287pts197
github.com 2mo ago

Show HN: Nimbalyst open source Obsidian, Codex app, and Linear for coding agents

wek
7pts1
arxiv.org 3mo ago

Agyn: A Multi-Agent System for Team-Based Autonomous Software Engineering

wek
2pts0
addyosmani.com 3mo ago

The Code Agent Orchestra: what makes multi-agent coding work

wek
2pts1
slack.engineering 3mo ago

Managing context in long-run agentic applications

wek
2pts0
blog.jetbrains.com 3mo ago

Jetbrain's Research: Understanding AI's Impact on Developer Workflows

wek
1pts0
arxiv.org 4mo ago

Speed at the cost of quality: Study of use of Cursor AI in open source projects (2025)

wek
148pts81
news.ycombinator.com 4mo ago

Ask HN: How is your team collaborating while working with coding agents?

wek
3pts3
news.ycombinator.com 4mo ago

AI is an enchantment, not a level booster

wek
2pts0
news.ycombinator.com 4mo ago

One plan/spec to rule them all (at least replace lots of docs)

wek
3pts0
news.ycombinator.com 4mo ago

Workflow to build context for coding agents

wek
3pts0
news.ycombinator.com 4mo ago

Things I keep reminding myself about while working with AI Agents

wek
2pts1
arxiv.org 4mo ago

Comprehensive Benchmarking of Agentic Systems Across 104 Real-World Challenges

wek
1pts0
nimbalyst.com 7mo ago

Local WYSIWYG Markdown, mockup, data model editor powered by Claude Code

wek
29pts5
arxiv.org 7mo ago

The AI-Native Software Development Lifecycle: Theoretical/ Practical Methodology

wek
1pts1
nimbalyst.com 7mo ago

A complete guide to the best Markdown editors

wek
3pts0
github.com 7mo ago

Nimbalyst: WYSIWYG Markdown editor with visual diffs powered by Claude Code

wek
5pts2
news.ycombinator.com 1y ago

Show HN: Stravu – Editable AI text, tables, diagrams (also multi-player AI)

wek
3pts0
news.ycombinator.com 1y ago

Show HN: Stravu – Editable, multi-player AI notebooks with text, tables, diagram

wek
11pts2

I have Max subscription to both Claude Code and Codex. I use both fulltime throughout the day. I have them check each other's work, and route tasks they are best at to the right one.

The checking each other's work is so helpful.

New features, mockups, I use Claude Code. Deep fact-checking, I use Codex.

My harness matters at least as much as the model. I use the best harness and then invest a ton in it

The article is correct to emphasize the importance of definition and that this can be a bottleneck. But it is incorrect to show the layered documentation and development lines taking just as long as they did pre-coding-agents.

Our team is coding much much faster at high quality then we were before coding agents. As this commenter says, if you empower individuals and small teams to define, document and they set up good practices and harnesses, they can accelerate dramatically.

Congratulations! I think that a lot of the value will be in the judgement of the maintainer about the marginal next feature (and saying no to all those other features) ... if software is a stream then the value is in what gets into the stream. That is an AI resistant value and if you can provide it for your project.

What an excellent article by a smart, humble, still-learning person!

Favorite quote:" There are a whole bunch of reasons I’m not scared that my career as a software engineer is over now that computers can write their own code, partly because these things are amplifiers of existing experience. If you know what you’re doing, you can run so much faster with them. [...]

I’m constantly reminded as I work with these tools how hard the thing that we do is. Producing software is a ferociously difficult thing to do. And you could give me all of the AI tools in the world and what we’re trying to achieve here is still really difficult. [...]"

Consider Nimbalyst, its a free visual workspace for Claude Code and Codex that has visual editing of markdown, mockups, diagrams, code with your agents with WYSYWIG diffs as well as task management and kanban session management tied into your agents. Its got a files/plan/editing mode and an agent/sessions mode.

Raising the Dead 4 months ago

Thanks for sharing. I appreciated getting different perspectives. I come down on ultimately this is lying and I don't see how lying to oneself is going to be helpful.

But to push the analogy a bit. If you are rowing on a lake with motorboats, it is a totally different experience. Noisy, constant wake. We are part of an ecosystem, not isolated.

Growing up, the lakes in New England were filled with sailboats. There were sailing races. Now, its entirely pontoon boats. Not a sailboat to be found.

From my experience in some large tech firms, you could easily cut 20% of the workers and not see much impact. There is so much bloat, process-people, meetings-people, etc... Even if the cuts aren't from AI, execs will use AI as a reason to make these cuts.

Thank you for sharing this. I found some good articles in what you shared. The long lists of places to post are not that helpful. I've poured through 100 of them in the past and only the top 20 make a difference, you might want to update the list to prioritize. I tend to point Claude Code or Codex at these lists, have them evaluate the scores of the sites and give me a priority list.

This is not my experience either. If you put the work in upfront to plan the feature, write the test cases, and then loop until they pass... you can build a lot of high quality software quickly. The difference between a junior engineer using it and a great architect using it is significant. I think of it as an amplifier.

I'm excited about Agents helping many tiny teams succeed. There has been hype around the "who will be the first solo founder to a billion" but I am hoping for many small teams to succeed and I think this is the more interesting story.

I agree its in the 2-7 person range.

The challenge for those teams is distribution. They will crush at building, but I'm not sure how they can crack distribution. Some will, but maybe there is a way to help thousands of small teams distribute.

I'm thinking about how to maximize the speed, bandwidth of collaboration with agents and teams to get to shared context as fast as possible. I think for the human, based on biology, its visual into to the human (out from agent) and voice out of the human (into the agent). Based on this, we are working on a local, agent-native workspace where you can collaborate with your coding agent visually in your sessions, markdown, mockups, code, tasks, etc... Called Nimbalyst. Would love feedback on it.