Category: development Episodes

Latent Space

Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review Ryan Lopopolo, OpenAI Frontier & Symphony

7 Apr 2026

AI integration in product development, such as Codex, automates coding tasks, reduces manual effort, and enables zero-code tools, while addressing challenges like adapting build systems, balancing automation with human oversight, systems thinking for observability, agent autonomy in code review, and maintaining human control in enterprise settings.

MLOps.community

Getting Humans Out of the Way: How to Work with Teams of Agents

7 Apr 2026

Recommended: An optimistic view of using Agentic AI with safeguards.

AI agents streamline software development through tools like pixel diff analysis, automated reporting, and annotated walkthroughs, addressing challenges in accuracy, code quality, and workflow adaptation while redefining human roles as validation overseers and collaborators in autonomous systems.

Startups For the Rest of Us

Episode 827 | The Founder's Guide to Selling Your SaaS for What It's Actually Worth

7 Apr 2026

Mid-sized B2B SaaS companies with $220M ARR face M&A challenges due to founder unpreparedness, undervaluation risks, and the need for professional guidance, while private equity's tuck-in acquisitions, competitive buyer outreach, and factors like growth rates and churn management shape valuations, emphasizing strategic planning over passive sale approaches.

Software Engineering Daily

FastMCP with Adam Azzam and Jeremiah Lowin

7 Apr 2026

Fast MCP, an open-source project by Prefect, simplifies the Model Context Protocol with high-level Python abstractions, enabling efficient server and application development through ergonomic design, decorator-driven tools, and enterprise adoption, evolving into a standardized AI workflow solution via community-driven growth.

Goto tech

One Size Fits None: How Platform Engineering Must Evolve William Rizzo & Colin Griffin

7 Apr 2026

Platform engineering requires industry-specific strategies tailored to verticals like FinTech and automotive, addressing regulatory compliance, AI integration complexities, alignment with organizational goals, and cross-team collaboration for effective infrastructure development.

Dev Interrupted

Stop measuring AI adoption. Start measuring AI impact. | LinearBs APEX framework

7 Apr 2026

The APEX framework addresses AI integration in engineering by prioritizing AI Leverage, Predictability, Efficiency, and Developer Experience to balance productivity gains with workflow alignment, code quality, and team satisfaction through targeted metrics.

Syntax - Tasty Web Development Treats

993: Its Been A Hell Of Week

6 Apr 2026

Security vulnerabilities in AI and software infrastructure include exposed source maps, malicious npm packages, permission flaws, caching issues, and debates over AI model exposure, alongside recommendations for secure practices and performance optimization.

Podcasts by InfoQ

Context Engineering with Adi Polak

6 Apr 2026

Mobile app security, advanced LLM prompt techniques, agent-based workflows with context management and RAG, event-driven architectures, AI in software development, and challenges like data silos and automation balance are explored.

MLOps.community

Fixing GPU Starvation in Large-Scale Distributed Training

3 Apr 2026

Optimizing ML workflows requires addressing data bottlenecks through caching, efficient structuring, and hardware-aware strategies to reduce remote data calls, minimize GPU-CPU overhead, and prioritize infrastructure over model tuning, while managing trade-offs between training efficiency and serving latency.

Latent Space

Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"

3 Apr 2026

AI's ongoing advancements, rooted in decades of progress from neural networks to transformers, highlight a long-term trend with transformative potential, yet face integration challenges, societal fragmentation, and the need to balance optimism with caution amid historical tech cycle parallels and systemic inertia.