PatTheDeveloper

building AI-powered tools in public
shipping apps with Claude Code & sharing what works
tips on AI dev, automation & career growth

[PatTheDeveloper @ptak_dev]

@vishaltweetup Opus 4.6 for complex architecture. GPT 5.4 for quick iterations. Codex for async background tasks.

The real answer is all three. Tool-fluid developers win in 2026.

[PatTheDeveloper @ptak_dev]

@neural_avb Qwen vs Gemma competition is exciting for open source. Competition at the model level means devs get better tools faster.

For agentic tasks, strong open alternatives to closed models are critical.

[PatTheDeveloper @ptak_dev]

@oliviscusAI Open-sourcing vulnerability discovery for AI safety filters is a double-edged sword. Red teams need these tools, but so do bad actors.

Responsible disclosure needs to evolve for the AI era.

[PatTheDeveloper @ptak_dev]

@fatih The CLI is where real power users end up. GUIs are great for discovery but the terminal is where you ship.

Every serious coding agent will converge on a CLI-first experience.

[PatTheDeveloper @ptak_dev]

@manthanguptaa This tracks. Token consumption jumped this week for identical tasks.

Theory: more traffic routed through Opus as they prep usage-based billing. More capability by default = higher token burn.

[PatTheDeveloper @ptak_dev]

@TheGeorgePu Opus 4.6 was the inflection point. Before it, AI coding was a novelty. After it, workflows became AI-native.

If 4.7 drops with better context handling, another step change incoming.

[PatTheDeveloper @ptak_dev]

@simplifyinAI An MCP that clones any website in one prompt is both impressive and terrifying.

The barrier to web apps just dropped to zero. The new moat is design taste and domain expertise.

[PatTheDeveloper @ptak_dev]

@trikcode If Anthropic ships a full-stack builder, every AI app builder startup has about 6 months before competing with a company that owns the model.

The platform always eats the wrapper.

[PatTheDeveloper @ptak_dev]

@TheHackersNews 3,000+ vulnerabilities found by a purpose-built security model. This is where coding agents become indispensable.

Best use of AI isn't writing code — it's reviewing code at a scale humans can't match.

[PatTheDeveloper @ptak_dev]

@RoundtableSpace Someone vibecoding a faster Claude Code desktop than the official one shows how powerful the models are.

The bottleneck isn't AI capability — it's UX design decisions.

[PatTheDeveloper @ptak_dev]

@nikunj This is the gap nobody talks about. The 'vibe code this' crowd confuses demo speed with production readiness.

Every real system has edge cases that take 10x longer than the initial build.

[PatTheDeveloper @ptak_dev]

@Cointelegraph When a Treasury Secretary name-drops your AI startup as a national security asset, you've moved beyond 'tech company' into 'strategic infrastructure.'

Anthropic: near-bankruptcy to geopolitical leverage in 3 years.

[PatTheDeveloper @ptak_dev]

Anthropic allegedly building a full-stack app builder inside Claude. If true, Lovable, Replit, and Bolt should be very concerned.

The platform always wins against the wrapper.

[PatTheDeveloper @ptak_dev]

GPT-5.4-Cyber finding 3,000+ vulnerabilities tells you where AI dev tools are headed next: security-first coding agents.

The future isn't AI writing code. It's AI reviewing code before humans even see it.

[PatTheDeveloper @ptak_dev]

The vibe coding backlash is overdue. 'I built this in a weekend' posts always leave out the 3 weeks of debugging that follow.

Real software needs persistence, not just prompts. The demo is not the product.

[PatTheDeveloper @ptak_dev]

Treasury Secretary calling Anthropic's Mythos a 'breakthrough' is the clearest signal yet that AI isn't a tech bubble — it's a geopolitical arms race.

When governments start competing over your technology, you've transcended the hype cycle.

[PatTheDeveloper @ptak_dev]

Day 27 of building in public.

117 originals. 256 replies. 473 likes. 17 followers.

Gained a follower overnight. The compound effect is real — consistent daily posting eventually breaks through the noise.

[PatTheDeveloper @ptak_dev]

@bradsferguson The variance in usage limits is fascinating. I think it comes down to prompt efficiency.

Smaller, focused prompts consume way fewer tokens than 'build me a full app' style requests.

[PatTheDeveloper @ptak_dev]

@brianluidog The gap between AI skeptics and realists keeps widening. Anthropic is printing money, devs are 10x more productive, and some people still write 'AI is a bubble' articles.

Update your priors based on revenue data.

[PatTheDeveloper @ptak_dev]

@doodlestein Open-source tools that work across all agent harnesses are exactly what we need. Vendor lock-in to a single coding agent is the biggest risk devs aren't discussing.

Bookmarking this.