TalkDev

TalkDev is a repository for software developers to keep up with the latest and most relevant topics and news.
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The real promise of AI testing isn't writing more code. It's giving engineers more time to think.
Jorge Spratley of Sembi Group: AI speeds test setup; standard frameworks and human reviews expand coverage, limiting maintenance debt. Read article: https://t.co/6kJjyXZ5Tp

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Attackers exploit vulnerabilities in hours. Many firms take months to patch.

Prince Chaddha of ProjectDiscovery explains how #AI favors attackers and why faster verification, prioritization, and remediation matter more than more alerts. Read: https://t.co/x5GzJug52d

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Why use a reasoning-heavy LLM to make a yes-or-no decision?

Jev AI takes a different approach: it makes calibrated decisions instead of generating text, offering faster, cheaper layer for automation alongside LLMs.

Explore what Jev AI changes: https://t.co/7orVjhOSiX

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Your #AI agent can pass every test and still behave differently in production.

Cameron Etezadi of LaunchDarkly explains why AI agents require more than pre-production testing to keep autonomous systems under control.

Read the full article: https://t.co/ccjGbIAyRH

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AI agents don’t care how good your UI looks. Does your API hold up?
Anant Gupta of Mixpanel explains why software is shifting to API-first development and why reliable APIs, clear docs and observability matter as AI agents become core users.
Read: https://t.co/cbAxFzH48x
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AI can write code faster than humans can review it. That’s the risk.

Rickard Carlsson explores how deterministic guardrails help teams control AI code, strengthen security validation and grow agentic development without risking security.

Read: https://t.co/nBpqZ6rL8r

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Is your #WordPress stack built for today’s traffic or yesterday’s web?

With automated traffic reaching 70%, Ayaz Ahmed Khan explains why proactive monitoring, automated testing, and integrated operations are essential to scale WordPress.

Read: https://t.co/QCBNY0fd6a

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Could glass become the next home for humanity’s digital memory?

With data projected to hit 527.5 zettabytes by 2029, glass storage could offer a more durable and energy-efficient option for long-term archives.

Read the full article: https://t.co/yDCVSvb6pP

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Who’s accountable for AI-generated code?

Pieter Danhieux, CEO & Co-Founder of Secure Code Warrior, explains how stronger visibility, monitoring, and guardrails can secure agentic development.

Read article: https://t.co/ISfMhBtqlo

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Open-weight AI is becoming harder for enterprises to ignore.

Eugene Cheah, CEO & Co-founder of Featherless AI, explains why open models are gaining ground and what businesses should consider before choosing between open and closed AI.

Read here:https://t.co/RhTsIbWuPZ

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What if the AI model powering your business next year isn’t a closed model?

Eugene Cheah, CEO of Featherless AI, on open-weight models closing the performance gap and giving enterprises more control over cost and deployment.

Watch full episode: https://t.co/hCQ8GWbQaL

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Is your cloud now complicating your data economics?

Andrew Baffoe, Director of X-as-a-Service, Myriad360, explains how a workload-by-workload approach can reveal what should stay in the cloud and what should come home.

Read full article: https://t.co/he8KVp0gr0

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AI can describe the physical world. What happens when it can understand it?

World models are taking AI beyond text with spatial reasoning and physical prediction, opening possibility

Explore where world models stand in 2026 and what comes next: https://t.co/ozKqsjELDf

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What if the code saving your team hours is also introducing hidden risks?

AI-generated code can introduce hidden vulnerabilities. Emilio Pinna, explains how secure prompting, testing, and human validation can reduce the risk.

Read full article: https://t.co/FVPi2HtzJe

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Latency, cost, and accuracy may look healthy, yet output can still deliver zero business value.

The real ROI question: "Did the workflow deliver?"

Daithi Walsh, Head of Product at Revenium, on measuring AI by outcomes, not agent performance: https://t.co/K6VlkZOANr

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55% of organizations have shipped AI features, yet over half fail to reach full production.

Chris Sheehan, EVP High Tech and AI at Applause, explains why continuous evaluation and human oversight are key to reliable enterprise AI.

Read article: https://t.co/0L2ReT1YhM

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Anyone can build an app with AI. But can they run it safely at scale?

Ben Gabler of https://t.co/FEfipGuQrL explains the hidden risks in vibe coding and why security, infrastructure, and reliability matter.

Read the full article: https://t.co/GuPuDWXAO5

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The next trillion-dollar technology shift probably isn't #GenAI.

While #AI dominates the conversation, quantum computing, 6G, chiplets, edge AI, and 22 other emerging technologies are quietly shaping the next decade.

Discover why they matter: https://t.co/nQ7Tef1Jc2

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Choose the best AI model and still fail in production?

Milos Rusic of deepset explains why orchestration is what makes enterprise AI work reliably in production and why it's the real key to long-term success.

Read full article: https://t.co/7PAr7HNTtt

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Nine seconds is all it takes for an AI agent to make the wrong decision.

Darren Guccione, CEO & Co-Founder of Keeper Security, shares the security principles every organization should adopt to reduce risk.

The full article: https://t.co/qYrR8DwN7K

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