Running several coding agents gets messy fast. This terminal makes their work visible.
GhosttyEXTREME is a macOS terminal fork for developers running AI coding agents across multiple projects.
It helps you follow what each agent is doing by showing live status, the files it reads and edits, its project context, and the changes it leaves for review.
Key features:
โข Agent sidebar โ see each agentโs task, status, timer, and last action across tabs
โข Live code following โ an editor opens files agents read and animates their edits as they happen
โข Change review + undo โ inspect an agentโs diff, comment on lines, or restore a snapshot from before its turn
โข Cross-agent hand-offs โ pass a task, recent conversation, diff, failed commands, and project memory to another session
โข Agent races โ run the same task in separate git worktrees and compare the resulting diffs
Itโs open-source (AGPL-3.0 license).
Link in the reply ๐
Good night everyone
As the evening shadows deepen and the world slows down, let a warm, comforting stillness wrap around your heart.ย Exhale all the lingering rush of the day, allowing yourself to settle into a space of pure rest and quiet comfort.
As you lay your head down tonight, may Godโs gentle mercy hush every anxious thought and His perfect peace watch over your mind. You can drift off to sleep with absolute confidence, knowing you are held securely by His infinite love and timeless faithfulness.
May His protective grace blanket your home, shielding you and your loved ones through the dark hours. Sleep deeply and beautifully, letting the divine quiet restore your body and refresh your soul so you can awaken to a peaceful, blessed new day. Good night, and may the Lord bless you always.
๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐ ๐๐๐๐ โ ๐๐ ๐๐๐๐๐๐๐ ๐๐๐,๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐
The Trump administration announced it is ๐๐ซ๐๐๐ณ๐ข๐ง๐ ๐๐๐๐๐ซ๐๐ฅ ๐๐๐๐ข๐๐๐ข๐ ๐ฉ๐๐ฒ๐ฆ๐๐ง๐ญ๐ฌ ๐ญ๐จ ๐ญ๐ก๐ ๐ฌ๐ญ๐๐ญ๐ ๐จ๐ ๐๐ข๐ง๐ง๐๐ฌ๐จ๐ญ๐ until state officials prove they're actually policing fraud, a top health official said at a briefing this week.
โ๐๐ฆ'๐ณ๐ฆ ๐ข๐ฏ๐ฏ๐ฐ๐ถ๐ฏ๐ค๐ช๐ฏ๐จ ๐ต๐ฐ๐ฅ๐ข๐บ ๐ต๐ฉ๐ข๐ต ๐ธ๐ฆ ๐ฉ๐ข๐ท๐ฆ ๐ฅ๐ฆ๐ค๐ช๐ฅ๐ฆ๐ฅ ๐ต๐ฐ ๐ต๐ฆ๐ฎ๐ฑ๐ฐ๐ณ๐ข๐ณ๐ช๐ญ๐บ ๐ฉ๐ข๐ญ๐ต ๐ค๐ฆ๐ณ๐ต๐ข๐ช๐ฏ ๐ข๐ฎ๐ฐ๐ถ๐ฏ๐ต๐ด ๐ฐ๐ง ๐๐ฆ๐ฅ๐ช๐ค๐ข๐ช๐ฅ ๐ง๐ถ๐ฏ๐ฅ๐ช๐ฏ๐จ ๐ต๐ฉ๐ข๐ต ๐ข๐ณ๐ฆ ๐จ๐ฐ๐ช๐ฏ๐จ ๐ต๐ฐ ๐ต๐ฉ๐ฆ ๐ด๐ต๐ข๐ต๐ฆ ๐ฐ๐ง ๐๐ช๐ฏ๐ฏ๐ฆ๐ด๐ฐ๐ต๐ข ๐ช๐ฏ ๐ฐ๐ณ๐ฅ๐ฆ๐ณ ๐ต๐ฐ ๐ฆ๐ฏ๐ด๐ถ๐ณ๐ฆ ๐ต๐ฉ๐ข๐ต ๐ต๐ฉ๐ฆ ๐ด๐ต๐ข๐ต๐ฆ ๐ฐ๐ง ๐๐ช๐ฏ๐ฏ๐ฆ๐ด๐ฐ๐ต๐ข ๐ต๐ข๐ฌ๐ฆ๐ด ๐ช๐ต๐ด ๐ฐ๐ฃ๐ญ๐ช๐จ๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ด๐ฆ๐ณ๐ช๐ฐ๐ถ๐ด๐ญ๐บ ๐ต๐ฐ ๐ฃ๐ฆ ๐จ๐ฐ๐ฐ๐ฅ ๐ด๐ต๐ฆ๐ธ๐ข๐ณ๐ฅ๐ด ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐๐ฎ๐ฆ๐ณ๐ช๐ค๐ข๐ฏ ๐ฑ๐ฆ๐ฐ๐ฑ๐ญ๐ฆ'๐ด ๐ต๐ข๐น ๐ฎ๐ฐ๐ฏ๐ฆ๐บโ, the official said. Providers on the ground already got paid, the halt targets the state government itself for refusing to clean up its own books.
CMS Administrator Dr. Mehmet Oz followed with the numbers that triggered the crackdown. His team cleared a Biden-era backlog and found the duplicate-enrollment problem was ๐ญ๐๐ง ๐ญ๐ข๐ฆ๐๐ฌ ๐ฐ๐จ๐ซ๐ฌ๐ than expected, jumping from an estimated 100,000 cases to ๐๐๐,๐๐๐ ๐ฉ๐๐จ๐ฉ๐ฅ๐ double-dipping on taxpayer-funded health coverage, about 550,000 of them on Medicaid itself.
โ๐๐ฐ ๐ฐ๐ฏ๐ฆ ๐ญ๐ฐ๐ด๐ต ๐ต๐ฉ๐ฆ๐ช๐ณ ๐ช๐ฏ๐ด๐ถ๐ณ๐ข๐ฏ๐ค๐ฆ. ๐๐ฆ ๐ด๐ข๐ท๐ฆ๐ฅ ๐ต๐ข๐น๐ฑ๐ข๐บ๐ฆ๐ณ๐ด $4.4 ๐ฃ๐ช๐ญ๐ญ๐ช๐ฐ๐ฏ, ๐ฎ๐ข๐ฌ๐ช๐ฏ๐จ ๐บ๐ฐ๐ถ๐ณ ๐ญ๐ช๐ง๐ฆ ๐ฎ๐ฐ๐ณ๐ฆ ๐ข๐ง๐ง๐ฐ๐ณ๐ฅ๐ข๐ฃ๐ญ๐ฆ, ๐ข๐ฏ๐ฅ ๐ธ๐ฆ ๐ค๐ญ๐ฆ๐ข๐ฏ๐ฆ๐ฅ ๐ถ๐ฑ ๐ต๐ฉ๐ฆ ๐ณ๐ฐ๐ญ๐ญ๐ดโ, Oz said, crediting the cleanup with $๐.๐ ๐๐ข๐ฅ๐ฅ๐ข๐จ๐ง ๐ข๐ง ๐ฌ๐๐ฏ๐ข๐ง๐ ๐ฌ in 2025 alone, with duplicate cases already down to roughly 190,000 this year. The crackdown builds on a CMS finding from last year that flagged 2.8 million Americans potentially enrolled in two or more Medicaid or ACA exchange plans at once, an overlap CMS estimated could cost taxpayers up to $14 billion a year (CMS Newsroom).
Minnesota isn't an abstraction here, it's one of the states that has repeatedly made national headlines for Medicaid fraud involving fake autism clinics, phantom housing stabilization services, and feeding-program scams that have already produced federal indictments. Washington just told Minnesota's government: fix it, or the money stops.
๐๐ฅ๐๐๐ง ๐ฎ๐ฉ ๐ญ๐ก๐ ๐๐จ๐จ๐ค๐ฌ, ๐จ๐ซ ๐ฅ๐จ๐ฌ๐ ๐ญ๐ก๐ ๐๐ก๐๐๐ค.
Source: @EricLDaughx.com/EricLDaugh/staโฆ
๐จ JUST IN: Minnesota may NEVER get back the $259 MILLION in Medicaid money the Trump admin froze over suspected fraud, because they CAN'T PROVE THE CLAIMS ARE LEGIT โ POLITICO
Imagine that ๐คฏ
Dr. Oz and JD Vance gave Minnesota a simple deal in February: prove the claims are
Oil has had one wild ride since 2000, and it's not exactly calming down now.
In 2008, booming demand from China and a flood of speculators sent Brent to a record $144 a barrel.
Months later, the global financial crisis hit and prices crashed below $40.
By 2016, Brent had sunk to $26 after the U.S. shale boom flooded the world with oil and Saudi Arabia refused to cut production to prop prices up.
Then came 2020. COVID lockdowns killed demand overnight, storage tanks filled to the brim, and U.S. crude briefly went NEGATIVE, meaning sellers were literally paying people to take it off their hands.
In 2022, Russia invaded Ukraine, the West slapped sanctions on Moscow, and Brent rocketed back up to $133.
Now it's climbing again, with Brent settling at $106.65 yesterday and WTI at $93.74, as the Iran war drags on, the Strait of Hormuz stays under blockade and Houthi missiles rain down on Saudi Arabia.
Every few years, the world finds a new way to break the oil market, and this year it's going for the full combo.
Writer: Julie
x.com/OilandEnergy/sโฆ
I used Claude Fable 5.1 and GPT-6 Astra to build a self-learning trading algorithm
The result: +$1,840.82 in two days
It makes about 17 trades a day or 521 a month, with an average trade size of $53.2
Six AI agents track new coins on Solana and learn to make trading decisions as one system
I called it QuantumOrb
GitHub repo:github.com/VALIXxDaniro/Qโฆ
Hereโs how it works:
SCOUT tracks new launches, bonding curve activity and PumpSwap swaps, then records the trading data
CARTOGRAPHER detects shared wallet funding sources, same-bundle activity and connections to the token creator
JUDGE analyzes traders from their transaction history and estimates their performance and edge after fees, entry delay and copybot activity
QUANT calculates execution on the curve or inside the pool, accounting for fees, market impact, priority fees and Jito tips
GUARD checks holder concentration, connected wallet groups and launch risks
EXECUTOR models opening and closing positions through take-profit, stop-loss or time expiry
At the center of the system is the Orb
Every launch is classified into three probability states:
+60% is reached first
โ30% is reached first
Neither threshold is reached within 60 minutes
Most profitable trades:
$45 โ $158 (+$113)
$37 โ $146 (+$109)
$31 โ $125 (+$94)
Organic buyer flow shifts probability toward one scenario
Connected-wallet activity, sells and holder concentration adjust the estimate in the opposite direction
With every new signal, the state updates. After that, QUANT determines whether the setup still makes sense after all execution costs, while GUARD decides whether the risk is acceptable
Every launch that passes GUARD is used for learning, including the ones the system decides to skip
One hour later, the actual outcome is recorded and fed back into the model
That feedback becomes part of the next decision.
Your coding agent shouldnโt send raw secrets to the model.
Baize is an open-source coding-agent CLI for builders who want tool use, multiple model backends, and privacy controls in one local workflow.
It helps you work through coding tasks without exposing sensitive values directly to the model by replacing detected PII with placeholders before requests and restoring it in the response.
Key features:
โข Reversible privacy masking โ detects items such as emails, phone numbers, API keys, and bank cards before model requests
โข Local-first operation โ the README says it has no remote database and runs completely locally
โข Flexible model backends โ supports DeepSeek, OpenAI-compatible APIs, GLM, Qwen, Kimi, and local Ollama
โข Agent toolchain โ includes shell execution, file operations, search, web fetch, background tasks, and todo management
โข Extensible workflows โ supports skills, subagents, hooks, and MCP servers for adding domain knowledge and tools
Itโs open-source (MIT license).
Link in the reply ๐
๐จ๐ญ To prove an earlier pointโฆ this Swiss man is out walking these CUTE-ASS rams every day because he couldnโt bring himself to kill them!
He probably gave them all cute namesโฆ hard to kill something named โGraceโ or โEthelโ!
Writer: Jamie
it's f*cking insane..
Anthropic just dropped a Claude Code setup that makes tokens up to 97% cheaper
Opus brains, Sonnet bill:
> Sonnet runs your session and writes the code
> Haiku subagents grab the small tasks
> Opus steps in only when Sonnet gets stuck
> it checks the work, digs into the problem and puts Sonnet back on track
$19.50 saved on every 1M tokens a Haiku 5.5 subagent writes, compared with Opus 5.5
one command sets it up:
npx claude-code-templates@latest --setting model/sonnet-opus-advisor-haiku-subagents
the easiest money you'll save on Claude Code this year
Starlink offers fast, reliable internet in the most rural and remote locations. Portable and easy to set up, Starlink Mini works wherever you are.
Order online in minutes.
holy sh*t. Official Anthropic tip for Claude Code:
Once Opus 5.5 is your main model, stop leaving Haiku 5.5 sitting idle and stop burning Opus tokens on sweeps Sonnet 5.5 and Haiku 5.5 can tear through
turn mass-agent sweeps into deterministic code with /workflows
claude --effort ultracode
Opus 5.5 authors the workflow script and synthesizes the final PR
Sonnet 5.5 executes precision refactors in isolated worktrees at medium effort
Haiku 5.5 runs at 340 tok/s as the dedicated pipeline filter, cutting cognitive load at three critical bottlenecks:
โ before dispatch: sweeps the full codebase in parallel to extract AST candidates without context bloat
โ on schema validation: drops malformed tool calls and false positives before Sonnet touches them
โ before synthesis: verifies that every candidate strictly conforms to the target JSON schema
Haiku 5.5 filters. Sonnet 5.5 refactors. Opus 5.5 ships
Jev engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) resolve in V8 in 16ms, and frontier models only wake up when execution paths actually split
Author on high. Refactor on medium. Keep Haiku at 340 tok/s.
- the full workflow architecture
> Opus 5.5 on high drafts the workflow script in .claude/workflows/
> pipeline() fans out Haiku 5.5 at 340 tok/s across target files
> parallel() schema fuzzers drop false positives before patch generation
> Sonnet 5.5 refactors verified files in isolated git worktrees
> intermediate state lives in V8 variables, keeping context drag at 0 tokens
> 1h prompt cache prefix hold eliminates redundant system prompt processing
paste the setup and this prompt into Claude Code โ
"Configure my Claude Code workspace for dynamic workflows:
1. Audit ~/.claude/workflows and .claude/workflows for existing scripts:
> Draft workflow definitions for codebase audits, parallel migrations, and schema validation
> Pin model: haiku, effort: low for AST sweepers, and model: sonnet, effort: medium for refactor workers
> Configure workers to operate in isolated git worktrees to eliminate edit conflicts
2. In ~/.claude/settings.json, enable dynamic workflows:
> Set ultracode = true
> Lock main session effortLevel to high
> Set subagentPromptCacheTtl = '1h' to share prompt prefixes across parallel fan-outs
3. Set workflow runtime controls:
> Set autoContinueAtUsageLimit = true so long batch runs automatically resume after limit resets
> Set CLAUDE_CODE_WORKFLOW_PREFIX_STAGGER_MS = 5000 for prompt prefix caching
> Set large workflow warning threshold to 25 agents
4. Add a rule to ~/.claude/CLAUDE.md: all multi-file refactors must pass an adversarial Haiku schema check before patches merge to main
Show me every change as a diff first. No edits until I say go."
โณ code.claude.com/docs/en/workflโฆ
Anthropic's research PM (ex-DeepMind) just showed the exact loop Anthropic runs to pick a model for every task. i turned it into a prompt you paste into Claude Code:
1 โ build an eval from ~20 real tasks, log cost next to every score
2 โ set the quality bar from your margin
3 โ fix the prompt before you blame the model
4 โ free levers first: caching, batch at 50% off, compaction
5 โ sweep model ร effort. "low and medium are the new high"
full prompt in the image, their own words in the webinar below โ
Anthropic engineers:
"low and medium are the new high"
in a 48-min webinar, Lucas Gonzalez and Ben Lehrburger show how Anthropic picks the model for every task, and take a support agent from 79% to 94% resolved while cost per ticket drops 5x:
14:02 โ the default ladder: Opus
OPUS 5.5 + DOTS + JEV CLOSED 312 TICKETS IN ONE WEEK.
25 engineers closed 96
That org chart costs $343,750/month in payroll.
The agent costs $2,055/month in tokens.
That's 167x less.
The split is simple:
โ Opus 5.5 writes the code
โ Dots writes the tests
โ Jev reviews everything
โ Nothing reaches "done" without Jev's approval
And here's the part most people miss:
The team has 1,000 hours available each week.
Only 410 hours are actually spent writing code.
That's 41%.
The other 590 hours go to meetings, reviews, on-call, customers, and decisions.
The agent is taking the 41%, not replacing the entire engineering organization.
Now look at the other side.
A business bills $120,198/month from 402 customers paying $299.
After fees, hosting, the agent, and 3 humans, $66,887/month remains before tax.
At that revenue level, you can afford roughly 8.7 engineers at most.
So that business never had 25 engineers to replace in the first place.
That's the part worth understanding.
Al isn't simply replacing "25 engineers.!"
It is changing how much output a small organization can produce with the same human decision-making layer.
SAVE THIS SO YOU DON'T MISS IT.
Yet another Polymarket bot made $63.7K by buying the most obvious outcomes on 5-min Crypto Up/Down markets
BTC, ETH, XRP, or SOL - it doesnโt matter
Once UP or DOWN hits 0.99 odds, it places limit orders
Fills automatically collect maker rebates
This setup saved thousands in fees while making an extra $5.5K
Across 6 months and 14.3K trades, it lost just 45 times
Can someone build me a bot like this?
Profile: polymarket.com/@0x9ad6c5316aeโฆ
Can you really bond 5-min crypto Up/Down markets on Polymarket?
Yes, you can and someone has already automated it
This trading bot buys 0.99 odds across different short-term crypto markets:
> 2-3 trades per hour
> Uses limit orders only
> Position size capped at <0.8% of
this was never supposed to leave the studio group chats
Jev doesn't generate images or write code. it picks. layout A or B, serif or sans, cut here or there. code does the drawing.
that's why it never ships something half-broken.
want a whole design system from one sentence?
-> jev-design: type "an 18th century printed book" and the dashboard becomes one a second or two later
github.com/bilune/jev-desโฆ
want full UI screens from a one-line prompt?
-> jev-design-test: real shadcn screens in ~1-2 seconds, Jev never writes a line of JSX
github.com/bhaiG-de/jev-dโฆ
want Figma to follow plain sentences?
-> jev-figma-design-plugin: Jev decides, code draws
github.com/voidning/jev-fโฆ
want a long video cut into shorts?
-> jevcut: 62 clips out of a 97-minute podcast, about 3 cents of Jev per hour of video
github.com/VBS2004/jevcut
want a video editor with Jev inside?
-> HyperEdit: FFMPEG + Remotion, powered by Jev
github.com/kevinbadi/hypeโฆ
the catch: Jev only chooses from options a human already built. no vocabulary, no design. and it's still behind a waitlist.
the taste is yours. the thousand tiny choices don't have to be.
bookmark this. pick one. ship something this week.
The next generation Starlink V5 has a smaller form factor and lightweight design with greater power efficiency.
With speeds up to 375+ Mbps, Starlink V5 delivers reliable home internet for streaming, video calling, gaming and more.
Available in select areas.
i spending 4+ years building institutional level 24/7 trading systems
today i wrote a 6-page research paper on exactly how to find profitable strategies 24/7 with Opus 5.5 from scratch
along with the COMPLETE CODEBASE
opus 5.5 builds the MOST POWERFUL 24/7 trading agents right now
here is how to build your first PROFITABLE trading bot with opus 5.5:
1. start with the market, not the strategy, every idea must name who loses on the other side or it has no edge
2. build every signal from closed bars only, one index shift separates a real backtest from one that sees the future
3. rank a whole universe instead of timing one asset, long the top, short the bottom, keep beta near zero
4. test enough variants and the best Sharpe rises with the square root of 2 ln N on pure luck, so most strategies should die
5. fees decide more than signals, 250 trades a year at 0.09% per round trip costs 22.5% before slippage
6. size so a 2 ATR stop loses 1% of equity, halt everything at max drawdown and change one rule per night
the exact system I have been running for the past 5 days is in the article below (INSANE REULTS):
opus 5.5 is the most dangerous AI model for trading right now
it gives you 1M token context and always-on reasoning
that can discover new profitable trading strategies for you 24/7
if you set it up correctly, you gain superpowers x.com/i/article/2104โฆ
How many tabs are open right now that you're "going to read later"?
Be honest.
You won't.
Nobody does.
Later never comes because nothing brings it BACK.
A second brain with Opus 5.5 reads it, files it, and puts it in front of you the week it matters.
Full course below. Bookmark this.
27 Followers 121 FollowingComputer Geek, ADHD, Trekie. All trek is good trek! ๐ Also in to SpaceX Starship, Halo (TV, Books, & Game), programming and more!