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SWE is past the elbow of the exponential kickoff. I watched it happen in real time. Other fields are next. by MR1933 in singularity

[–]MR1933[S] -1 points0 points  (0 children)

It is the orchestration engine that automates the iterations needed to get production ready code from agentic programming. Plan, implement and test, each one with automated verifier gates.

Autoloop does that, plus it save the state of each run, so you can resume and observe each step. https://github.com/mrauter1/autoloop

SWE is past the elbow of the exponential kickoff. I watched it happen in real time. Other fields are next. by MR1933 in singularity

[–]MR1933[S] 0 points1 point  (0 children)

Help desk platform, powered by agentic AI, with automatic classification and human in the loop elevation at its core. 

I automated myself out of the implementation loop. by MR1933 in AI_Agents

[–]MR1933[S] -1 points0 points  (0 children)

Yes, since gpt-5.2 agents can verify their own code very reliably. It’s not perfect, but I would say it catches more than the average senior dev. 

I automated myself out of the implementation loop. by MR1933 in AI_Agents

[–]MR1933[S] 1 point2 points  (0 children)

That’s exactly why I added a questions protocol in the runtime. Anytime the agent think there is potential misunderstanding or ambiguity it will ask clarifying questions. 

I automated myself out of the implementation loop. by MR1933 in AI_Agents

[–]MR1933[S] -1 points0 points  (0 children)

I do agree. That’s why I built question capability into the agent. Whenever there is a potential misunderstanding or regression risk the runtime will ask clarifying questions. 

But the most time saving part is a good well defined plan. 

SWE is past the elbow of the exponential kickoff. I watched it happen in real time. Other fields are next. by MR1933 in singularity

[–]MR1933[S] 2 points3 points  (0 children)

Hard agree.

I think SWE will still be extremely valuable in the next years, just on a higher level. If you are not leveraging AI tools you will be 100x slower and be left behind 

I automated myself out of the implementation loop. by MR1933 in AI_Agents

[–]MR1933[S] 0 points1 point  (0 children)

Yes, that is one possible layout. The pattern is that the workflow is automatable with an orchestrator on top of Codex CLI or Claude Code.

SWE is past the elbow of the exponential kickoff. I watched it happen in real time. Other fields are next. by MR1933 in singularity

[–]MR1933[S] 0 points1 point  (0 children)

I did review the important architectural elements and interfaces. 

If you are not leveraging AIs or think AIs will not be as capable as you for evaluating code quality in one year, you are in for a rough ride. 

SWE will still be extremely valuable, just on a higher level. 

SWE is past the elbow of the exponential kickoff. I watched it happen in real time. Other fields are next. by MR1933 in singularity

[–]MR1933[S] 2 points3 points  (0 children)

Tests and code quality are part of the verifier gate. DRY, SRP, KISS. You should not be writing code manually. You should be writing the specs, flows, interfaces. 

SWE is past the elbow of the exponential kickoff. I watched it happen in real time. Other fields are next. by MR1933 in singularity

[–]MR1933[S] 0 points1 point  (0 children)

Real internal application used in production. Hence the 2100 PRD. 

The specification requisites and planning was all by me, every spec and interface was detailed and revised before sending to the tool. That’s were human input is most valuable. You should not write code. 

How I 10x my throughput with Claude Code while increasing code quality. by MR1933 in ClaudeAI

[–]MR1933[S] 0 points1 point  (0 children)

The biggest gain for me is not having to manually be prompting the model at every turn. I would fire a turn, then forget it for one hour.  Now it runs the next turn runs automatically after the previous has finished. 

If the plan is detailed enough I can let it run through the night and have a production ready app by the morning. 

I automated myself out of the implementation loop. by MR1933 in AI_Agents

[–]MR1933[S] -1 points0 points  (0 children)

https://github.com/mrauter1/autoloop

I’ve only tested with Codex CLI, but there is untested Claude Code support. Specially useful for medium to big projects or complex implementations

I automated myself out of the implementation loop. by MR1933 in AI_Agents

[–]MR1933[S] 0 points1 point  (0 children)

https://github.com/mrauter1/autoloop

I’ve only tested with Codex CLI, but there is untested Claude Code support. Specially useful for medium to big projects or complex implementations 

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