The state of development in early 2026 is all wrapped around learning how to manage many agents running in parallel. Everyoneβs trying to figure out the workflow.
The Plan Is Everything #
The secret Iβve discovered is a good, well-defined plan. This could be a markdown file or a GitHub issue. Agents are actually great at writing these for you. Theyβll include reproduction steps, outline changes needed, and structure the work.
This is your opportunity to step in. Read the plan. Look for hallucinations. Spot where itβs going off track. Edit the plan before the agent starts coding.
I had one today where it laid out reproduction steps beautifully, but I could add context about network requests that completely changed the approach. This editing phase is what most people are missing right now. Skip it and youβll watch your agent solve the wrong problem with impressive efficiency.
The Pace Problem #
Hereβs what nobody warned me about: managing these things is exhausting.
Depending on the day, agents move so damn fast. I can barely research, find, and raise issues as fast as Claude can implement features and fixes. Itβs like trying to speedrun a Minecraft seed when you just figured out how to craft a pickaxe.
A Different Kind of Work #
This stretches a different part of my brain than Iβm used to using. Iβm learning new skills around:
- Issue tracking and management at high velocity
- Knowing which models handle which tasks best
- Spotting when a session is about to go sideways from context bloat or bad compaction
I had a session yesterday where the context got poisoned with a wrong assumption. The agent spent 20 minutes building on that false premise before I caught it. Thatβs 20 minutes of perfectly executed code solving the wrong problem entirely.
Worth It, But Hard #
Iβm not going to hype-bro you and say this is easy or that youβre wrong to be skeptical. If you have the opportunity to work with agents, itβs worth learning proper techniques.
Itβs not easy. It requires actual management skills, not just prompting skills. And yeah, Iβm tired.