IBM declares self-hosted deployment for IBM Bob
IBM Bob, the corporate’s agentic software program improvement platform, helps groups transfer past code era to use AI to the work of software program supply and modernization. The platform permits organizations to carry AI software program improvement to on-premises, private-cloud, sovereign-cloud, and air-gapped environments the place they’ve management, the corporate mentioned.
IBM Bob’s self-hosted deployment possibility brings AI to customer-managed infrastructure and is particularly designed for organizations that require higher management over information residency, safety insurance policies, AI governance, and software program improvement workflows. The self-hosted model of IBM Bob permits enterprises to deploy AI software program improvement and modernization capabilities in environments the place their code, utility context, and information already reside.
“The way forward for enterprise AI will depend upon safety, governance and sovereignty,” mentioned Neel Sundaresan, GM of AI and Automation, IBM. “Organizations want AI that operates inside environments they’ve management over, particularly when working with delicate code and controlled information. Bob’s self-hosted deployment supplies a means for enterprises to carry agentic AI on to these environments to allow them to profit from the know-how whereas sustaining safety, compliance, and operational management.” The platform brings AI to the info as a substitute of shifting the info to the AI.
For extra details about self-hosted choices for IBM Bob, go to: https://www.ibm.com/new/bulletins/ibm-bob-expands-to-self-hosted-environments-for-sensitive-and-mission-critical-enterprise-software
A New Agentic Expertise: JetBrains Air in IDEs
JetBrains Air, an open system of merchandise for agentic improvement,at this time is launching the early entry program for Air within the 2026.3 EAP builds of JetBrains IDEs, or as a plugin on the JetBrains Market.
Air works with the brokers you already use, equivalent to Codex, GitHub Copilot, Junie, Cursor, and different ACP-compatible brokers. It detects brokers already put in in your machine and makes it straightforward to carry them instantly into the IDE. With JetBrains Air in IDEs you can even use your Claude subscription in Air’s terminal and full-screen tab.
You don’t want a JetBrains AI subscription to make use of your brokers with Air. Use your current AI supplier subscriptions or JetBrains AI if you have already got it.
Constructed-in IDE abilities and instruments give supported brokers entry to specialised JetBrains experience and workflows for duties like debugging, efficiency profiling, database exploration, and semantic code search. This will help brokers produce higher outcomes and, for some duties, use fewer tokens.
Improvement doesn’t finish when code is generated – it nonetheless must be run, reviewed, and validated. That’s precisely what an IDE is constructed for. It provides you the instruments to know and assessment the agent’s work – from diffs and navigation to inspections and extra.
Constructed-in IDE abilities and instruments give supported brokers entry to specialised JetBrains experience and workflows for duties like debugging, efficiency profiling, database exploration, and semantic code search.
Qodo 3.0 Brings High quality Management to Agentic Software program Improvement
With this launch, Qodo expands its high quality infrastructure to enterprises constructing agentic software program factories, mechanically connecting agent workflows to enterprise codebase data, architectural requirements, and governance necessities.
Many organizations are struggling to keep up high quality and governance on the tempo brokers now produce code. Based on a latest trade research, 91% of engineering leaders concern being prone to dropping management of their codebase, with governance and visibility cited as the highest threat at nearly 30%. Qodo 3.0 addresses this by injecting quality control all through the agentic SDLC, guided by Qodo’s Knowledge Base that gives brokers with a repeatedly up to date understanding of a company’s codebase, requirements, structure, and pull request historical past.
With Qodo 3.0, high quality is embedded into code era earlier than a pull request exists by surfacing a company’s coding requirements into an agent’s workspace and working Qodo’s assessment engine on code earlier than it’s dedicated. Governance and codebase high quality could be monitored and risk-assessed with the Qodo Software program Map, which mechanically maps a company’s repositories, calculates the blast radius of a proposed change, and surfaces high quality points as a warmth map throughout the structure.
