$50,000,000 in >> $36,000 out.
-99.999% in one swap on Cowswap via Aave's frontend
on Definitive, every trade is simulated across every liquidity source before execution.
don't let this happen to you - just trade on Definitive
"If you are a trader and you live and breathe onchain, your lifeblood is getting into these new tokens that are launching on Base early."
@DefinitiveFi founder, @jai_prasad17, shows how Turbo enables traders:
Getting rinsed on slippage & fees?
Not under our watch.
If we don’t beat @AxiomExchange / @TradingTerminal / @basedbot on your trades, we cover the difference (up to $100).
DM for access.
been a little over a month since we've promoted widespread Claude/agentic development internally here at @DefinitiveFi.
here's how things have changed operationally:
• telemetrymaxxx - implemented full telemetry and observability through the entire stack from UI interaction down to DB query. then made it accessible for agents to grok. this is important so that agents can now be fully responsible for tracing and debugging issues faced by users. investigation and detection of user-facing issues is one of the highest human costs, now nearly fully automated by a few agents.
• prototype first - design now leverages claude to ship full UX prototypes with configurable dev panels for eng to play around surface every interaction edge cases and flows before implementation. Figma is used only to perform the last mile paint and precision of the UX wireframes. what used to take a week for design to get a feature "dev ready" now takes less than one day. the final minutia of pixel pushing toward perfection was always a low value high cost human dev effort. its now completely handled by agents with often as little effort as a Slack message.
• clear comms, fast output - written comms is heavily emphasized in all aspects, from the thoroughly detailed spec, written with the help of AI, to the one-off slack message describing a bug or issue. the better the comms, the less "loops" an agent needs to snipe resolution. Cursor and Linear slack integrations help tremendously here to distill entire discussions to actionable plans and tasks.
• last mile compression - broad strokes of feature implementation are done completely by agents. however, the details can often be missed and fall through the cracks. agents often miss and thats ok. every mistake can be codified as a skill so its not made again by agents. anything else can usually be instantly sniped if described well. time is no longer spent compiling laundry lists of rough edges to iron out after new launches. we simply have agents address in realtime with DMs and PRs.
• eyeballs are the bottleneck - verification and manual testing is now the bottleneck. when hundreds of PRs are shipped every week, the build is constantly changing. human effort has now been polarized toward accurately describing initial requirements and carefully verifying the output (code reviews, click tests). playwright tests and persisently running QA agents now support some of the human load here.
every day, incremental gains are achieved with ever-evolving processes on how we work. we are pro-experimentation and max malleability when it comes to agentic involvement. this is the edge that smaller teams must sharpen to gain magnitudes of speed against larger incumbents.
reminds of me this great F1 scene: https://t.co/w6XhVjamut
base
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seeing all the how-to-start-trading on Monad posts where step2 is to beg a friend for MON is hilarious.
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