Trying Pi without rebuilding your whole workday
Pi's minimal coding harness appeals to the tinkerer in me. I would test that freedom against extension upkeep, model costs, and the work I actually want to finish.
Mahnoor Faisal’s MakeUseOf article about Pi starts with the pleasure of programming. She learned Python as a child, kept experimenting, and now enjoys using AI to try ideas she might otherwise have left alone. Her complaint is that coding assistants keep acquiring features she does not necessarily want. Pi gives her more say in what the assistant becomes.
I like that motivation considerably more than the headline’s claim that Pi “beats” Claude Code, Codex, and Antigravity. The article offers a personal account of a better fit, not a controlled comparison establishing a winner. Its closing paragraphs are generous toward the tools she still uses. That distinction makes her argument more interesting: she has found a way to enjoy the work, and she wants some control over the machinery around it.
This is source-backed commentary, not a hands-on Pi review. I read the article and the project’s documentation; I did not run a comparative coding benchmark or audit the community permission extension.
The appeal of leaving things out
Pi describes itself as a minimal, extensible agent harness. The harness is the software surrounding the model: it assembles context, exposes tools, manages the conversation, and carries out tool requests. Pi lets users adapt that software through extensions, skills, prompt templates, and themes. Its documentation explicitly leaves features such as plan mode and sub-agents to customization rather than making them part of the default experience.
Faisal particularly likes starting with four tools: read, write, edit, and bash. The project’s tool definitions support that description of its coding tool set. An agent can get substantial work done with those operations. It does not need a special button for every conceivable task.
I understand the attraction. Every integration introduces something else to learn, configure, and occasionally distrust. A feature can be excellent and still be an interruption for someone who never asked for it. Choosing what appears in your working environment can make the difference between wanting to open a project and wanting to postpone it.
There are limits to what I would infer from the smaller tool set. Fewer definitions may mean less initial tool-description text, but that alone does not establish lower total cost, fewer mistakes, or better code. A useful specialized search tool might save repeated shell calls. I would want measurements from the actual task before calling minimalism an efficiency result.
Customization moves work onto your desk
Pi’s extension documentation describes TypeScript modules that can add commands, tools, event handlers, providers, and interface behavior. Faisal’s example is asking the agent to build a planning extension rather than waiting for a developer to ship the exact planning workflow she wants.
That is a meaningful kind of freedom. A person with a particular process can change the assistant around it. They can also share the result instead of maintaining a private fork of the whole application.
It is work, though. Someone has to decide what the extension should do, read what it actually does, and notice when an update breaks an assumption. Asking the agent to write it reduces the typing. It does not settle whether a read-only mode really prevents changes, whether its state survives a restart, or whether it behaves sensibly when no one is there to answer a prompt.
For someone who enjoys building tools, that maintenance can be part of the fun. For someone already exhausted by configuration, it can turn a promised simplification into another unfinished project. I would be wary of treating either preference as evidence of technical sophistication. A finished product can be the right purchase precisely because someone else maintains the parts you do not want to own.
Four tools can still reach a great deal
Bash is a particularly important member of that small set. A shell can invoke other programs and access resources available to its account. Counting visible tools tells us little about how much damage an incorrect action could cause.
Faisal recognizes this. She discusses a community permission extension and explicitly distinguishes those rules from an isolated environment. Pi’s own security guidance is equally direct: tools and extensions run with the process’s operating-system permissions, and the working folder does not confine their access.
I would start a trial with a disposable copy of a project, inside a deliberately restricted environment. I would leave personal credentials out, avoid mounting my whole home directory, and provide only the network access the task needs. A container with broad host mounts and powerful credentials exposes those resources too. A separate checkout helps review and recovery; it does not itself stop a command from reaching elsewhere.
Extensions also deserve the care given to executable software. The official documentation says they run inside the Pi process and can inspect files, prompts, credentials, and session history. An approval popup might improve a workflow, but installing code that implements the popup introduces its own trust decision.
Try the freedom on a task you recognize
The other attraction is model choice. Pi’s model documentation covers supported subscriptions, API keys, local models, and compatible endpoints. That gives users room to change providers without replacing their entire working interface. It does not make hosted inference free, transfer every subscription entitlement, or make every local model equally capable.
My advice to readers who feel the same enthusiasm as Faisal is to try Pi alongside the tool they already know. Pick one task whose result you can judge: repair a reproducible bug, add a small feature, or explain a module before changing it. Decide what a correct result looks like before either assistant begins.
Use the same model where possible if you want to learn about the harness. If you change both the model and the harness, call it a comparison of complete setups. Include the time spent reviewing changes, correcting misunderstandings, and maintaining extensions. A quick first draft can still leave a slow afternoon behind it.
Add an extension when a repeated inconvenience earns one. Keep the configuration small enough that you can explain what is installed and why. You can enjoy the option to customize without exercising every option immediately.
I would count the experiment as a success if it helped someone spend more satisfying time on their actual project. That might lead them to Pi. It might also reveal that their existing assistant was fine after they disabled a few distractions. Faisal’s curiosity is worth borrowing; her final choice does not have to become yours.