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At LogicalStreet, we’ve spent months in the trenches with coding agents. And let’s be honest, this isn’t a fairy-tale of automation and magic. It’s closer to hiring a hundred interns who never sleep, never stop typing, and never really understand what you meant unless you spell it out.
We didn’t start out with a grand philosophy. We stumbled into it. Like everyone else, we were curious, then cautious, then deeply entangled in trying to make these digital assistants part of our actual workflow. What emerged was less a set of rules and more a series of hard-earned realizations.
1. Coding agents are only as smart as your clarity
We learned this the hard way, by watching agents write perfectly functional nonsense. The kind that passes tests but solves the wrong problem. The truth? Agents are mirrors. They reflect the clarity (or confusion) of your thinking. If you don’t know what you want, they’ll guess, and guess wrong.
So we treat them like junior developers: full of potential, eager, and a bit reckless. The better your onboarding and feedback loops, the better they perform.
2. Frameworks before examples
In human-led projects, we usually say: build three use cases before designing the framework. With agents, that logic flips. They work better when you give them a clear structure first. It’s like giving them the skeleton before the flesh.
We build the framework early, then iterate and refactor, because agents are phenomenal at refactoring. They can rewrite a codebase faster than you can blink, and that changes how you think about software design.
3. Components keep chaos in check
“Component thinking” is a sanity-preserving habit. Whether UI elements or backend services, clear boundaries help agents stay inside the lines. Without them, they tend to brute-force through problems, producing code that works, until you touch it again.
4. REPEX: Review, Plan, Execute
Somewhere along the way, we developed a rhythm we call REPEX:
We make agents write down what they “see” in a module (we save these as AGENT.md). Then, every task starts with that shared understanding. It’s slower at first, but the compounding payoff is huge, less confusion, more continuity.
5. Teach your agent
Agents forget everything unless you teach them, repeatedly. We document their learnings after each task and feed those summaries back in. It’s not glamorous work, but it’s the digital equivalent of mentorship. Over time, their output becomes sharper, more consistent.
6. Beware of “fly-by-wire” code
When you let agents run unchecked, you get systems that only fly with autopilot on. They can produce beautiful, fragile code that collapses when touched. Constant supervision isn’t micromanagement, it’s survival.
7. Parallel experiments are worth the chaos
Sometimes, we ask two or three agents to attempt the same problem independently, then merge the best parts. It’s messy but powerful. Think of it as code Darwinism, survival of the cleanest diff.
8. Stay in charge of compression
When agents hit context limits, they summarize what they “remember.” We’ve noticed quality can drop after that point. So we do the compacting ourselves. Like pruning a tree, we decide what to keep.
We’ve built internal systems that blend human context with machine precision. Our developers focus on creative problem-solving and architectural thinking, while agents handle the repetitive, procedural work, fast, consistent, and documented.
This partnership hasn’t just made us faster, it’s made us sharper. We’ve learned to encode knowledge, refine clarity, and treat every coding task as a chance to teach our tools how we think. That’s not automation, that’s augmentation.
At LogicalStreet, we’re not waiting for the future of software development. We’re building it, one intelligent collaboration at a time.
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