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Pileks

Verified account MetaDAO

@pileks

Founding engineer @MetaDAOProject
Occasional snarky commenter.
github.com/pileks Joined February 2010
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Pileks Verified account @pileks
Thank you @Gigagoblin for the beautiful review of my talk from Solana Summit Serbia.

What I most want is for devs to feel encouraged to both speed up and slow down with their agents, where appropriate. And most importantly, to keep their work simple.

Full talk below.
14:59
Gigagoblin Verified account @Gigagoblin Sep 8
"How to vibe your way to smart contracts ...and some tricks I learned along the way."

Best talk title of Solana Summit Serbia by @pileks, Founding Engineer at @MetaDAOProject, Smart Contracts hold millions in TVL. And then he spent the talk showing exactly how to do that without blowing up.

Some context on why this isn't a gimmick. MetaDAO is the first implementation of futarchy, governance where markets make the decisions, and it has evolved into a full capital markets platform where founders raise in the open. Jure owns the smart contract stack. When your code IS the product and the product custodies real money, "the AI wrote it" is not an excuse anyone accepts. So his workflow has to survive contact with reality.

The core reframe of the talk: vibe coding regular software and vibe coding smart contracts are different sports. A web app bug is a ticket. A smart contract bug is a headline. The environment is adversarial, deployments are effectively permanent, and the entire country of people trying to drain your protocol works weekends. So the question isn't whether agents can write Solana programs. They can, and they write most of his code now. The question is what discipline you wrap around them.

His tricks, and this is the part worth saving:

Plan before you prompt. The agent gets a spec, not a vibe. Writing the plan is where the actual engineering happens; the agent turns decisions into code, it doesn't make the decisions.

Small, scoped tasks. Big open-ended prompts produce confident nonsense. Narrow tasks with clear boundaries produce reviewable diffs.

Tests are the contract with your agent. Let it write exhaustive tests, then make the tests the ground truth. An agent that has to satisfy a hostile test suite is a much better engineer than one being cheered on.

Feed it the right context. Models lag reality, framework versions especially. Give it current docs and your codebase conventions instead of letting it hallucinate an API from two years ago.

Use the agent against itself. Have it attack its own code, hunt for missing signer checks, account validation gaps, and the classic Solana footguns, before a human review that actually reads every line.

Know where the line is. Scaffolding, tests, refactors, docs: go wild. Novel security-critical invariants: slow down, that's where you earn your title.

The honest conclusion: agents made him dramatically faster without lowering the bar, because the bar was never typing speed. It's judgment. The fundamentals, understanding the runtime, the account model, what can go wrong and who profits when it does, matter more in the agent era, not less, because you're now reviewing at the speed you used to write.

As someone who vibe-coded and open-sourced my own analytics dashboard, this whole talk hit home. AI doesn't replace the builder. It removes every excuse not to build.
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Pileks Verified account @pileks
If you haven’t traded decision markets, I highly suggest you start, even for intellectual curiosity.
These days there’s a market live almost anytime on @MetaDAOProject and you can follow new markets on @ProposalAlerts
More to come as the ecosystem grows
Felipe Montealegre Verified account @TheiaResearch Oct 12
I am among the tiny subset of people who use decision markets every week in my capacity as the largest ownership coin investor. I feel like I am using the frontier model for governance while everybody else is on the equivalent of GPT-3.5.

Decision markets are *extremely* powerful as corporate governance tools as long as your goal is to maximize price per share. Throw virtually any governance decision at one of these markets, and you have a mechanism explicitly designed to select the outcome that maximizes shareholder value.

These markets are resilient to many attempted attacks and corner cases (most of the corner cases people bring up dissolve upon contact with reality or misunderstand the basic mechanism altogether). They work under pretty limited assumptions too; I have seen decision markets work with a shockingly small number of investors. I've seen board-level decisions correctly resolved by markets with as few as 3 or 4 informed participants.

I am convinced that decision markets offer better investor protections and lead to more value creation than the US corporate governance system (best system on earth after decision markets) specifically because you can avoid board capture and attacks on minority shareholders, and because markets are powerful prediction tools. It's completely obvious to me that decision markets offer much better shareholder protection and value creation alignment than the corporate governance systems governing companies across the rest of the world.

Importantly, decision markets are much, much better than all other Internet-native governance mechanisms that I have ever seen in practice. I work at a token fund and see everything. It is extremely easy to manipulate virtually every other DAO governance mechanism I've encountered since 2020. This is important because no single national legal system can serve as the native governance infrastructure for the entire Internet.

The US legal / litigation system isn't going to scale to tens of millions of businesses around the world. The Delaware Court of Chancery receives roughly 1,400 new civil cases a year, and securities class actions take a median of 3.5 years to settle. If you believe in a world where companies everywhere can raise capital or go public on the Internet then decision markets may become the governance infrastructure for millions of businesses. That means millions of decision markets. This is the best time to get nerd sniped. We are at the beginning of the exponential curve for decision markets, and knowing how they work is actually quite lucrative (that's the point).
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