The bottleneck in AI SRE isn't telemetry.
Most enterprises already have more logs, metrics, and traces than they know what to do with. Yet troubleshooting remains largely manual.
The challenge isn't collecting more data. It's reasoning over the data that's already there and separating causation from correlation.
Thanks to @bgracely for having me on @TheEntAIShow . Full episode in the comments.
How will team collaboration evolve within Enterprise AI?
https://t.co/vg3WnVV9uM
SUMMARY: The biggest enterprise AI question is which organization can most effectively operationalize, govern, and economically scale AI agents across the business.
AI News of the Month - May 2026
https://t.co/HJcXSrgxmd
Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, Software Defined Talk and Failover Media) discuss the biggest AI news stories from the month of May, 2026.
Q: How are job postings for software engineers rising rapidly despite AI agents automating coding?
A: Because there’s far more code to manage than ever before. We’re already seeing a 14x YoY increase in GitHub commits, and it’s accelerating.
AI has dramatically lowered the cost of writing code, so it’s now being used across far more businesses, applications, and use cases.
We’re at the beginning of a massive productivity boom driven by the proliferation of bespoke software throughout the entire economy.
Coding has been AI’s breakout use case this year. The fact that it’s increased demand for software engineers — rather than decreased it — should call into question the entire “AI will cause mass job loss” narrative.
The AI journey at my company. It is a very, very large Fortune 500 company
1. Use AI you idiots
2. You aren’t using AI enough so we’re monitoring your AI usage and we’ll fire you if you don’t use it every hour
3. STOP USING SO MANY TOKENS ITS VERY EXPENSIVE
Can AI Agents be held Accountable?
https://t.co/8Bw6wnfvMj
SUMMARY: As AI Agents are brought into complex, regulated workflows, we explore the importance of accountability and how platforms and harnesses accomplish that goal.
GUEST: Ram Venkatesh, Co-Founder/CTO of @sema4
AI agents should adapt to how business users already work, not force them to translate their expertise into code.
Our Co-founder and CTO, Ram Venkatesh, joined @bgracely on @TheEntAIShow to unpack how https://t.co/V33T3qcGHe enables business users to build agents based on their own understanding of a process – no IT required.
🎧Listen here: https://t.co/YN8pMV0vLF
An AI Market Analysis, May 2026
https://t.co/EnFHoqchog
RIP Reasoning, hello The Enterprise AI Show. We do a point-in-time analysis of the AI market for May 2026, across 11 major categories.
An AI Market Analysis, May 2026
https://t.co/2coJTzRhCc
RIP Reasoning, hello The Enterprise AI Show. We do a point-in-time analysis of the AI market for May 2026, across 11 major categories.
AI, Data Centers, and the Power Crunch
https://t.co/yDOfR2YNCS
We explore one of the most overlooked bottlenecks in the AI boom: energy and infrastructure and why power availability is becoming the limiting factor.
GUEST: Wannie Park, Founder/CEO of PADO AI
AI News of the Month (April 2026)
https://t.co/0M6Yj6JtWH
It was a very, very, very busy month in the world of AI.
@bgracely and @bwhichard discuss the biggest AI news stories from the month of April, 2026.
The 2026 AI Draft
https://t.co/qecC7ZPQZB
Draft guru Brandon Whichard (Software Defined Talk) joins @bgracely for the inaugural AI Draft, where we predict the next year of AI winners, losers, trends, and headlines.
Halt & Retool: Rewriting Software Development in the Age of AI Agents
https://t.co/E3RpBGY4Aj
Exploring how to fully embrace AI-driven, agent-based software development, resulting in dramatically increased productivity and faster feature delivery.
Guest: @sramji, CEO Sailplane
The Zero-CVE Mirage: Hardening Software in the Age of AI Attacks
https://t.co/D7gxQOFmMc
Matt Moore, CTO @chainguard_dev shares how his team is rethinking secure software supply chains, scaling infrastructure, and safely integrating AI agents into development workflows.
Getting Shadow AI under control https://t.co/8znVA387Sf
SUMMARY: Shadow AI is growing much faster than known AI adoption across businesses. How can IT teams get Shadow AI under control?
GUEST: Uri Haramati, CEO at @torii_hq#ShadowAI#AI#Security#Compliance
Is Coding a Solved Problem?
https://t.co/4geXc3Z41s
Have we reached a point where coding is a solved problem? And if so, what are the downstream effects on companies that need software to differentiate their business?
GUEST: @bwhichard Co-Host of @SoftwareDefTalk
Understanding RAG Systems
https://t.co/bBFM908aVR
SUMMARY: The Retrieval Augmented Generation pattern is one of the most frequently used to augment LLMs with context-specific information. Let’s explore RAG.
GUEST: @RoieSchwabco, Head of Developer Relations @Pinecone