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Where the world meets DevOps. Powered by @TechstrongGroup.

[Security Boulevard @securityblvd]

Security experts say the White House's Gold Eagle initiative is a good start for coordinating AI-discovered vulnerabilities, but the program's focus on discovery doesn't address the deeper problem.

The real bottleneck is remediation capacity and accountability, not an absence of scanning data, and without a funded fix pipeline the faster funnel of flaws may simply overwhelm teams that are already behind.

Find out how experts want Gold Eagle paired with remediation programs to actually move the needle: https://t.co/wd5q8JGcDG

#GoldEagle #AI #VulnerabilityManagement #Cybersecurity

[Techstrong TV @TechstrongTV]

Open source has always been the great infiltrator. Linux. Kubernetes. Git. Now AI. But what happens when the companies — or countries — that used openness to catch up finally have something worth protecting? That's the question behind China's rethink. https://t.co/9BgCaumCv9

[Techstrong.ai @Techstrongai]

Google has postponed the release of its flagship Gemini 3.5 Pro after internal coding improvements failed to meet performance targets, delaying a model that was expected shortly after Google I/O.

The slip makes coding the decisive credibility test for frontier models and reinforces analyst warnings that enterprise teams should treat vendor roadmap dates as provisional until verified in their own pipelines.

Read the full article to see why coding is now the make-or-break metric for AI model launches: https://t.co/3o0EetZA3o

#Google #Gemini #AgenticAI #Coding

[Techstrong.ai @Techstrongai]

We’ve never judged technology by looking at a chart. Give us the model and let us put it to real work, because the question isn’t whether it can ace a benchmark. It’s whether it can sustain intent across a long project, recover when something breaks, and start carrying part of the assignment rather than just answering prompts.

With GPT‑5.6 Sol and Claude Fable 5, the leap is exactly that. The Ferraris are learning to drive themselves, and that makes the test drive far more revealing than the spec sheet.

Read the full piece for our hands‑on take on the frontier, the rise of “good enough” models, and why agentic persistence changes the risk calculus, too: https://t.co/I47irH5up5

#AgenticAI #GPT5 #TechOpinion #ClaudeFable

[Techstrong TV @TechstrongTV]

IBM shares cratered up to 25% (~$70B wiped out) after warning AI spend is crowding out software budgets. Today's Techstrong Gang covers the fallout for Microsoft & SAP, Starbucks building its own software, and a landmark EU safe-harbor ruling. https://t.co/zMJah9jQIg

[Techstrong.IT @TechstrongIT]

Google Cloud's State of AI Infrastructure report finds that 83% of enterprises need to upgrade their tech stack before they can fully support autonomous AI agents.

Inference now accounts for 47% of all AI workloads, and leaders are confronting legacy API fragmentation, rising inference taxes, and energy constraints that have become primary hardware selection criteria.

See why infrastructure is the new agentic AI bottleneck: https://t.co/N1APYncMpL

#AgenticAI #AIInfrastructure #GoogleCloud

[DevOps.com @devopsdotcom]

Anaconda has acquired Kilo Code, an open-source coding agent used by over three million developers, bringing a model-agnostic agentic workspace into the same portfolio as its secure package distribution and the Outerbounds production orchestration platform.

The deal stitches together a three-tier pipeline meant to carry AI projects from first prompt to production, enforcing security and governance without locking developers into any single model.

Read the full article to see how Anaconda is assembling a unified AI development platform: https://t.co/80zkTg4tk3

#Anaconda #KiloCode #AI #DevOps

[DevOps.com @devopsdotcom]

SmartBear is closing the gap between coding and testing by integrating its platform directly with AI coding tools from GitHub, Anthropic, AWS, and Atlassian.

By bringing testing into the IDE, developers can validate code at the speed it is created, reducing technical debt and keeping AI-generated code from slowing the development pipeline.

See how SmartBear is connecting coding and testing in the AI era: https://t.co/9Gv2pxtD4O

#SmartBear #AICoding #SoftwareTesting #DevOps

[DevOps.com @devopsdotcom]

AI is speeding up software delivery. Governance isn't keeping pace.

Learn what IDC's latest research reveals about AI adoption, compliance, and building trusted software delivery at enterprise scale.

Register: https://t.co/Fo2gTcAc0R

[DevOps.com @devopsdotcom]

The acquisition of Kilo Code reveals that Anaconda no longer wants to be just the Python company.

It is climbing the AI stack toward the agentic interface where developers direct models, route data, and generate software, a move that positions it as a governance layer between enterprises and the frontier labs competing for their workloads.

The question is no longer whether Anaconda can package Python, but how much of the AI development stack it intends to own.

Read the full analysis of Anaconda's platform ambitions: https://t.co/ER6D2RMbma

#Anaconda #KiloCode #AI #Python

[Techstrong.IT @TechstrongIT]

Starbucks just spooked the enterprise software industry by announcing it would build AI-assisted replacements for Microsoft and IBM applications, and shares of ServiceNow and Salesforce fell even though they were not named because the market is reacting to a collapsing assumption.

We argue that AI makes custom software thinkable again, but it will not eliminate the maintenance burden or fund the open source projects underneath, and that means the build-versus-buy debate is back with much higher stakes.

Read the full article to see why Starbucks spooked the entire application layer: https://t.co/2mPlgU8xre

#EnterpriseIT #AI #SaaS #OpenSource

[Techstrong TV @TechstrongTV]

Mike Vizard interviews Derek Larson of COCC and Todd McNeal of SmartBear on AI test automation, why AI-generated code still needs independent QA and how teams avoid letting AI grade its own homework.
Watch: https://t.co/tIBDadk81S

[Techstrong.ai @Techstrongai]

SnapLogic has launched a SnapCode capability and an MCP server that lets AI coding tools like Claude Code directly invoke its iPaaS environment, giving developers governed access to more than a thousand pre-built integrations with SAP, Salesforce, Snowflake and other enterprise systems.

Find out more here: https://t.co/BoUFz3j17K

#SnapLogic #MCP #iPaaS #AI

[DevOps.com @devopsdotcom]

AI is generating more code. Is it improving software delivery?

Join The Futurum Group and Cloudbees to uncover what new Techstrong PulseMeter research reveals about AI in CI/CD, productivity, hidden costs, and enterprise adoption.

Register: https://t.co/5CvrqU9aDJ

[DevOps.com @devopsdotcom]

Atlassian is transforming Jira into the central control plane for agentic engineering. Direct support for Claude, Cursor, and GitHub Copilot makes it possible to assign tasks to AI coding agents while a Jira Coding Agent converts issues into ready-to-review pull requests.

Learn how Atlassian is shaping agentic development directly from Jira: https://t.co/99KHf2PnFm

#Atlassian #Jira #AgenticAI #DevOps

[Techstrong.ai @Techstrongai]

AI agents are growing more autonomous, making runtime security critical. Codenotary’s AgentMon adapts policies in real time to detect anomalies and secure evolving AI workflows.

Read more: https://t.co/Oc9fhAf3Gw

#Cybersecurity #AISecurity #DevSecOps #RuntimeSecurity

[Techstrong TV @TechstrongTV]

Mike Vizard interviews Brinqa COO and Chief Strategy Officer Brad Hibbert on why AI-driven vulnerability discovery requires exposure management based on exploitability, attack paths and business risk.
Watch: https://t.co/pUblnaTdtd

[Secure Code Warrior @SecCodeWarrior]

Our AI agent now delivers real-time, adaptive training as developers code—surfacing instant #MicroTraining to spot & fix vulns before they reach production. Boost security with smarter, faster learning! Learn more in @devopsdotcom: https://t.co/GuM5GuefGd #AdaptiveLearning

[DevOps.com @devopsdotcom]

DevOps Experience 2026 returns on September 24, bringing together the engineers, architects, and platform leaders building and operating modern software systems at scale.

This year’s event focuses on agentic AI in DevOps, including how teams are deploying, governing, and scaling AI agents across development pipelines while maintaining reliability, security, and operational control.

Join 12+ sessions across four focused tracks and hear directly from practitioners working through these challenges in production.

📅 September 24, 2026
⏰ AM–3:00 PM ET
🎟️ Free to attend

Early registration is now open.
Claim your free spot today: https://t.co/PGfLefhd6w

#DevOps #AI #PlatformEngineering #DevSecOps #SoftwareDevelopment