List from buildsoftwarewithai.com
AI for Developers
Tools, techniques and ideas for building software with AI.
Latest podcasts
Newest first
AWS Weekly Roundup: Amazon Bedrock Managed Agents powered by OpenAI, Q3 service availability updates, Kiro workflows, and more (October 5, 2026)
Last week, we announced a public preview of Amazon Bedrock Managed Agents powered by OpenAI, built on a customized version of OpenAI’s Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the identities, permissions, and governance controls you
How a Logistics Giant Keeps AI Data Locked Down
Picture a startup with ten engineers hammering away on AI and one person lying awake over a $20,000 bill that hasn’t arrived yet. That’s the scenario we put to Jason Ward, who handles FinOps for AI at C.H. Robinson and recently joined the FinOps Foundation’s AI working group.Jason’s first answer is not glamorous: tag every AI resource so you know who owns it. The rest of the episode is what that makes possible. He walks through how C.H.
408: Cesar Carvalho, CEO of Wellhub: The Risk Isn't AI. It's How Fast You Grow
Send us Fan Mail Cesar Carvalho is the co-founder and CEO of Wellhub, the corporate well-being platform connecting millions of employees to top-tier fitness, mindfulness, therapy, nutrition, and sleep partners across 18 countries. Since founding the company as Gympass in 2012, Cesar has raised nearly $900 million in venture funding, reached a $2.4 billion valuation, and grown Wellhub to serve over 50,000 corporate clients worldwide. In this episode,
Decisions You Can Check: What solvi 1.0 Is For, and What It Will Not Do for You
solvi 1.0 is an open-source Python library for decisions you can check: fast solvers answer under a calibrated error promise, an LLM or a search takes the rest, a person decides what neither can, and every decision is hash-chained and replayable. It does not make a model smarter, and the article says where it lost.Read All
The State of Agentic Data Science
What to Delegate, How to Verify
The Crypto Sector Lost 58% of its Newcomers: There Is Still a Way to Get Them Back
Crypto kept its veteran developers but lost 58% of its newcomers as builders moved to AI tools. With non-technical builders now driving much of software's growth, the real question is whether crypto still needs developers in the traditional sense. Canopy lets anyone turn an app into its own blockchain from a short template. Here is how it works, how it compares with Avalanche, Caldera and Virtuals, and what to watch next.Read All
Can You Trust AI Confidence Numbers?
Why Your AI’s Confidence Is a Lie (And How to Fix It)
Executive Briefing: Before You Renew Software, Ask Your AI Power Users 4 Questions
The people using AI on your team are already making decisions about the future of your software. They are choosing which data matters, which application steps they can skip, which workflows they still trust, and which agent does the work. A surprising amount of your software strategy may already exist in those choices. Your leadership team has to go and learn it.
AI Forecasts Beat the Incumbent Forecast in 15 of 15 Customer Deployments
DemandForecast.ai's report found that AI-powered demand forecasting reduced forecast error by 14-56% and manual planning effort by 70% across 15 deployments. The report's results, measured in each company's own metric, included a 10-25% sales lift and up to 50% reduction in overstock.Read All
Android Bench Tests Long Coding Work
Android Bench turns mobile coding evaluation from small patch repair into long-horizon Android work. Google says the updated benchmark adds multi-day
AI Is Now an Enterprise Resource. So Why Are We Still Managing It Like Software?
Most companies track AI as a software line item. But AI is increasingly doing the work, not just supporting it, and that means the real question isn't "how much are we spending on AI?" but "what outcomes is it producing, and who owns them?" Read All
Latency vs. The Invoice: Benchmarking AI Decisions
The Speed Mirage: Why Your AI Strategy is Measuring the Wrong Clock
Black Box: The Chatbots | Life Raft | Ep 4 – podcast
More than a billion people are suddenly talking to AI chatbots designed to connect with us. We are sharing with them our deepest secrets, trusting them with our wellbeing and acting on their advice. Across two powerful stories – a woman who was struggling to leave a relationship and a man who was desperate to quit drinking – the Guardian journalist Michael Safi explores what this new way of living looks like
Can Memory Systems Track a Group?
GroupMemBench reframes agent memory as a group problem, not a private chat log. The paper argues that assistants used inside teams need to remember who
Agentic DevSecFinOps : A Practical Guide to Safe Automation
AI systems in software engineering have moved from being simple autocomplete tools to "Agentic AI" that can read environments, create plans, and modify infrastructure on their own, but this speed comes with risks of system failures and budget blowouts. To mitigate these risks, enterprises should set a safe speed limit for AI autonomy at Level 3 (Conditional Autonomy) and implement strict guardrails to prevent rogue agentsRead All
The Next Great CMO Won't Manage People. They'll Manage Guardrails
AI agents will take over most marketing execution, including campaign setup, creative testing, and budget allocation. The CMO's role shifts from managing people to managing the system. That means setting intent and guardrails, deciding what escalates to a human, and protecting the long-term brand. Autonomy is earned, not granted.Read All
Hitting your ChatGPT limit? Try Sol before paying $300 more
Used together, Dots, Space, and Sol turn the context you've built with AI into a shared workspace. The questions to ask are what can it take on and what does that work cost?
Why I Was Wrong About AI Companies Pumping the Brakes: It Wasn’t About Data
Frontier AI companies are not slowing down due to safety concerns or data limitations, but rather to lock the door behind them and choke open-source AI to death by implementing regulatory measures that favor proprietary models. They aim to create an anti-competitive ecosystem that inflates costs for everyone else and maintains their market dominance.Read All
LWiAI Podcast #258 - Opus 5.5, Sol and Luna, Muse, DeepSeek-V4.1-Flash, Xi
(Belated post :/ ) Anthropic releases Opus 5.5 with lower prices and Fable-level performance, OpenAI launches GPT-6 Sol and Luna, boasting lower cost and fewer mistakes
AI vs. Super Intelligence: Is the Rename Actually More Accurate?
The White House has instructed government departments to use "Super Intelligence" instead of "Artificial Intelligence," citing a need for a more accurate name due to the stigma surrounding AI. However, the term "Super Intelligence" may not accurately describe current AI capabilities, which are primarily based on machine learning and pattern recognition.Read All
Showing 20 of 200 podcasts
Know a source we’re missing? Tell us about it