Nyk 🌱 @nykdotdev
AI agent systems · Solana infra · products that ship @rpcedge · @builderzdotdev · @SuperteamDE 14.5k+ OSS · packages for founders who ship nyk.dev alpha here Joined September 2017-
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Five coding CLIs. Five quota systems. I wanted one answer: which one can still work? I built llmquota, a local terminal arena for Claude Code, Codex, Cursor, Grok and Hermes. It reads the usage each provider exposes, shows resets and active routes, and marks unknown data instead of guessing. When one session runs out, the ring bus can hand work to another CLI. Bus messages are escaped and labelled as untrusted before they enter agent context. No llmquota telemetry. MIT. Now open source: github.com/0xNyk/llmquota
@robj3d3 Multi Login and switching possible also (remembering your multiple Claude subscriptions)
Llmquota in action x.com/nykdotdev/stat…
@RoundtableSpace Breaking work down is only half the win for ADHD workflows. Each step needs a clear done condition and next action, so retries resume without rebuilding context. x.com/nykdotdev/stat…
@phibrowser Exactly. Capability amplifies the harness it inherits, including every stale read and dirty-state bug.
A bigger model often hides the real bug. Common pattern: the demo fails, the team upgrades the model, the demo passes, and everyone calls it solved. Then a longer task, a dirtier workspace, or a session restart brings the failure right back. Five failure modes still survive a model upgrade: - lost state across sessions - dirty workspaces - loose tool access - missing hard checks - duplicate or conflicting work after retries The model is rarely the root cause. The system around it is. Operating rule: freeze the model while classifying the failure. Change one system piece at a time. Re-run from the same start state. Full failure matrix in the article. Bookmark it before the next model-upgrade postmortem. Bookmark this. Follow @nykdotdev for the daily build in public.
GATE THE ORDINARY STEPS - NOT THE FINAL EXPLOIT STORY. `agent-security` - Deterministic safety gates for repositories touched by coding agents and automation. Coding agents can clone a poisoned starter, read hostile content, and leak private context into a public commit. The useful fix is not more model caution - it is gates on material entering and leaving the workspace. agent-security packages the boundary as scan, vet, scan-content, and guard - pattern matches with limits stated, not vibes. Operators run real entrypoints (scripts/scan-repo.sh --all, scripts/vet-incoming.sh../candidate, scripts/scan-content.sh../fetched-page.txt), not a slideshow. CLEAN means no known pattern matched. It does not mean safe. Ship the gates with the repo - not as a postmortem. Bookmark this. Follow @nykdotdev for daily builders talk.
I open-sourced `agent-security` today. Coding agents can clone a poisoned starter, read hostile content, leak private context into a public commit, or run a destructive GitHub command. Each action looks ordinary in isolation. The damage appears when trust crosses a boundary
The time for Clarity is here: The new Telecoms Act. @a16zcrypto wrote The time for Clarity is here: The new Telecoms Act. A16z crypto Spending more than two decades in Congress, I saw firsthand how legislative momentum can propel our country forward - and how legislative inertia can leave us scrambling to catch up. The crypto market structure legislation currently moving through Congress, the Clarity Act, is unlike anything we've seen since the Telecommunications Act of 1996: a large-scale, forward-looking effort to embrace technological change and introduce consumer safeguards for a nascent technology. Bookmark this. Follow @nykdotdev for the daily build in public.
@SuccinctLabs @NTBro @CoinDesk What resonates with me is the focus on accountability, not pretending ZK can prove truth. Proving which model, inputs, and execution path produced an output would already move agents forward.
@codyschneider I’d add a shared metrics layer and read-only credentials before connecting the agents. Claude Code reads 7 instruction layers before your prompt. x.com/nykdotdev/stat…
@Nekt_0 Sixteen hours directing agents is still programming at a different layer. The hard part moves to tight specs and retry loops that fail visibly instead of silently. x.com/nykdotdev/stat…
@gippp69 the real win is the edit loop, but it needs guardrails: scoped vault access, diff-first writes, and git-backed rollback. Claude Code ships a major release every two weeks. x.com/nykdotdev/stat…
Most ambitious people do not fail from laziness. One inbox for money, health, kids, the main company, the side product, the half-built idea, and the random DMs that feel like opportunity. So the loudest thing wins, the important thing waits, and "being productive" becomes a full-time job of reorganizing tools. Working notes: 1) Why the default approach fails 2) The four seats of a personal control plane 3) The five loops that run the week One list flattens life, ventures, and work. This piece is not another app recommendation. It is a design for a personal control plane: a small set of seats, loops, and gates that routes attention across life, ventures, and deep work without turning maintenance into a second career. Bookmark this. Follow @nykdotdev for the daily build in public.
@only1mrwhite @Concordium That human-to-agent binding is the missing accountability layer. Signed receipts for tool calls and retries would extend it from identity to what the agent actually did. x.com/nykdotdev/stat…
@NousResearch For agent releases, the key changelog detail is whether retry behavior or state persistence changed, because either can quietly alter cost and reliability. Claude Code ships a major release every two weeks. x.com/nykdotdev/stat…
@_0xpainn The free tier goes much further when the agent treats context as a budget: compact memory and retry only failed tool steps. Treating agent CLIs as interchangeable burns 40-60% more correction rounds. x.com/nykdotdev/stat…
@IBuzovskyi @NousResearch For cron-driven agents, cutting cold start below one second removes the startup tax that gets paid again on every retry. The 2026 agent engineer roadmap: harness first, model second. x.com/nykdotdev/stat…
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