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Harness Launches Code Repository With AI Code Review for Agent-Ready Development

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Built for the volume of AI-generated code, with permissions for AI agents, reviews that keep pace, an enterprise free plan, and one-click migration from existing Git providers

SAN FRANCISCO, Aug. 27, 2026 /PRNewswire/ — Harness, the platform for the autonomous SDLC, today launched Agent-Ready Harness Code Repository and AI Code Review, built for teams increasing their adoption of AI coding agents. The capabilities are designed to work as one experience: code lands in a repository built for the volume now generated by agents, and is reviewed by a system that understands what a change puts at risk.

Coding stopped being the hard part

Generating code is no longer the constraint. With agents in the loop, teams produce far more code, far faster, than they could alone, and the work has shifted to what happens next: storing, reviewing, approving, and shipping all of it without anything breaking.

The tools underneath were not built for that. Legacy source code management tools in wide use today, GitHub included, assume a human writes code and opens a pull request before a few colleagues look at it over the next few hours or days. When agents are doing the writing, the cracks show up in ordinary places: search and file history get slower as indexing falls behind, pull requests pile up faster than anyone can read them, and a permission system designed around a list of developers has no good answer for an agent that might merge code on its own. Harness has now rebuilt that layer.

“Software delivery is going through its biggest shift since the move to the cloud, and the systems we all built our workflows around were designed for a different scale and a different kind of user,” said Jyoti Bansal, CEO and co-founder of Harness. “You do not solve that by adding AI features to a repository designed fifteen years ago. The entire SDLC has to become autonomous, which means the repository, the review, the pipeline, and the governance must all work as one system.”

Inside Agent-Ready Harness Code Repository

Harness Code Repository is what source control looks like when agents are part of the team.

Keeps up as commit and pull request volume increases: Harness Code Repository is scale-tested to handle thousands of pull requests and commits opened at once, which is roughly what a team running agents looks like on an ordinary day. Search, history, and diffs keep working at that volume, across repositories of varying sizes and with branches in the tens of thousands.Agents get their own permissions: Agents inherit permissions from humans that trigger them. Developers can further define what an agent may touch, merge, or deploy, just as they would scope a new engineer, down to a specific repository, branch, or environment. RBAC and Open Policy Agent (OPA) policies put that boundary in writing rather than leaving it to convention, so it holds before the merge instead of turning up in an audit afterward.Tailored to be used by humans and agents via MCP and CLI: Harness Code Repository and AI Code Review are both reachable from the command line through the Harness MCP and CLI, which covers the full pull request lifecycle, allowing users to find a review by the author’s email instead of an internal ID, see every open pull request across every repository in one place, and create, reply to, or resolve comment threads without opening a browser. AI agents can leverage Harness CLI commands to execute Harness Code and Review operations more deterministically and in headless mode.Free to start, simple to migrate: Any team can start using Harness Code Repository for free, with 50 GB storage. Migration takes a few clicks, regardless of whether organizations are migrating one repository or an entire GitHub organization, GitLab group, Bitbucket workspace, or Azure DevOps project, and the Harness CLI brings pull requests, labels, webhooks, and branch rules along with it.

AI Code Review

A repository that can withstand a flood of code does not help if a human still has to review all of it. AI Code Review reads a pull request the way a tech lead would.

Checks that gate the merge. Teams decide which AI Checks are mandatory, setting them once for an account or tuning them by project, and a change that fails a required check cannot be merged.Diff grouping by risk. The diff is grouped by risk rather than by file, so the few high-risk changes that alter how the software behaves are not buried under mass renames and dependency bumps.One-click remediation. Feedback describes what a change puts at stake rather than noting that a line moved, and suggested reviewers and labels arrive before anyone opens the pull request. If the feedback is valid, changes can be merged with a single click.

Agents can write code, but someone still has to decide what ships. AI Code Review is built so that the decision is an informed one instead of a rushed one.

One platform, from commit to production

Committing, reviewing, building, testing, securing, and deploying code already follow a single sequence inside Harness, which is why the repository and the review layer could ship together. Both are now part of the outer loop that the Harness Software Delivery Agent runs end-to-end, from commit to production, under one policy engine.

That sequence is also what makes the review useful. Harness already knows how a team releases software, which policies they enforce, and what has failed in their production before. All of that is mapped in the Harness SDLC Knowledge Graph, providing enterprise context for every review to reference.

By dogfooding these capabilities over the past several months, Harness engineering teams have saved more than 10,000 hours of manual review time per month.

Availability

Agent-Ready Harness Code Repository and AI Code Review are available today – book a demo to learn more.

About Harness

Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

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BioVid Launches Tumor Worlds™: A Strategic Intelligence System to Decode the Behavioral Logic of Oncology Markets

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BRISTOL, Pa., Aug. 27, 2026 /PRNewswire/ — BioVid, a leading life science consultancy, today announced the launch of Tumor Worlds™, a proprietary strategic intelligence system that helps pharmaceutical companies anticipate how oncology markets respond to new evidence. Integrating oncology expertise, behavioral science, and BioVid’s proprietary CIAIRA™ AI platform, Tumor Worlds™ moves beyond descriptive market research to provide an early signal model of physician decision-making. The launch begins with Non-Small Cell Lung Cancer (NSCLC), with Prostate and Pancreatic Cancer to follow, and full portfolio expansion planned through 2026. 

BioVid’s Tumor Worlds™ helps pharma companies anticipate how oncology markets respond to new evidence.

To learn more, visit www.biovid.com/tumorworlds.

Clinical evidence now moves faster than most markets can absorb, and one-size-fits-all launch playbooks weren’t built for that pace. Tumor Worlds™ maps the “gravitational forces” of each oncology market, identifying the structural conditions that govern how new evidence is adopted in clinical practice.

“The industry is trapped in a ‘rearview mirror’ approach, relying on historical data to predict what physicians will do next,” said Peggy Hirtle, CEO of BioVid. “We’ve mapped the sociotechnical forces — social norms, institutional constraints, cognitive heuristics — that drive physician behavior, so clients can anticipate where market change will accelerate, stall, or fail before it appears in prescription data.”

“Success in oncology is no longer just about having the best data; it’s about understanding the social and structural reality of the physician,” said Meredith Jacobetz, PhD, Senior Director, Oncology Center of Excellence at BioVid. “Tumor Worlds™ lets us build an actionable picture of the world an asset inhabits before that reality shows up in the data.”

Tumor Worlds™ includes four core suites, powered by a sociotechnical engine mapping behavioral rules across 30+ tumor types:

World Dynamics Suite: Maps the clinical and competitive landscape shaping how fast a market can move.

Treater Insights Suite: Maps physician roles and influence networks, from awareness to prescribing.

Cognitive Insights Suite: Surfaces the psychological drivers behind physician decisions and where messaging fails.

Lifecycle Intelligence Suite: Calibrates risk flags, competitive playbook, and resource allocation across an asset’s life.

CIAIRA™: BioVid’s proprietary AI engine synthesizes data across all four suites to identify leading indicators of physician sentiment as the market evolves.

About BioVid

BioVid is a life science consultancy applying behavioral science and AI to commercial and market access strategy, marrying market opportunity with behavioral insight for clients.

Visit www.biovid.com to learn more. 

Media Contact:

Lynn Clement, Executive Director, Growth Strategy, BioVid

lclement@biovid.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/biovid-launches-tumor-worlds-a-strategic-intelligence-system-to-decode-the-behavioral-logic-of-oncology-markets-302861963.html

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FORECLOSURE ACTIVITY REMAINS ELEVATED FROM A YEAR AGO IN JULY 2026

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Foreclosure Starts Increase 10 Percent Year Over Year; Completed Foreclosures (REOs) Rises 23 Percent Annually

IRVINE, Calif., August 27, 2026 /PRNewswire/ — ATTOM, the leading provider of property data, AI-powered intelligence, and real estate analytics solutions, today released its July 2026 U.S. Foreclosure Market Report, which shows there were a total of 39,906 U.S. properties with foreclosure filings— default notices, scheduled auctions or bank repossessions — up 1 percent from a month ago and up 10 percent from a year ago.

“The increase in foreclosure starts and completed foreclosures compared to last year shows that financial pressures remain a factor for some homeowners,” said Rob Barber, CEO at ATTOM. “However, the broader context is important. Foreclosure activity remains relatively low by historical standards. While annual increases have become more common, current volumes indicate that the market remains relatively resilient overall.”

Nevada, South Carolina, and Florida record worst foreclosure rates in July
In July 2026, one in every 3,603 housing units nationwide had a foreclosure filing. Nevada led the nation with one foreclosure filing for every 1,703 housing units. South Carolina ranked second (one in every 2,085 housing units), followed by Florida (one in every 2,232 housing units), Delaware (one in every 2,579 housing units), and Texas (one in every 2,653 housing units).

Among metro areas with populations of 200,000 or more, Punta Gorda, FL recorded the worst foreclosure rate in July 2026, with one filing for every 899 housing units. Following Punta Gorda were Killeen, TX (one in every 1,359); Las Vegas, NV (one in every 1,394); Vallejo, CA (one in every 1,432 housing units); and Lakeland, FL (one in every 1,501).

Texas, Florida, and California post most foreclosure starts nationwide
Lenders initiated the foreclosure process on 26,648 U.S. properties in July 2026, up 2 percent from the previous month and up 10 percent from a year ago.

Texas led the nation in foreclosure starts in July 2026 (3,306 foreclosure starts); followed by Florida (3,277 foreclosure starts); California (2,540 foreclosure starts); Illinois (1,243 foreclosure starts); and Georgia (1,217 foreclosure starts).

Contrary to the national trend, among metropolitan areas with a population of at least 200,000 with at least 20 foreclosure starts, the following saw the largest year-over-year declines in foreclosure starts in July 2026: Tulsa, OK (decrease from 138 foreclosure starts in July 2025 to 41 in July 2026); Spokane, WA (decrease from 43 to 20 foreclosure starts); Fayetteville, NC (decrease from 62 to 31 foreclosure starts); Toledo, OH (decrease from 98 to 49 foreclosure starts); and Greeley, CO (decrease from 47 to 24 foreclosure starts).

Completed foreclosures stay elevated compared to last year
Lenders repossessed 4,764 U.S. properties through completed foreclosures (REOs) in July 2026, virtually unchanged from the previous month but up 23 percent from a year ago.

States with the highest number of REOs in July 2026 were Texas (1,265 REOs); California (616 REOs); North Carolina (299 REOs); Maryland (272 REOs); and Virginia (263 REOs).

Those major metropolitan statistical areas (MSAs) with a population greater than 200,00 that saw the highest number of REOs in July 2026 included: Houston, TX (405 REOs); Dallas, TX (223 REOs); Baltimore, MD (164 REOs); Washington, DC (131 REOs); and San Antonio, TX (128 REOs).

Key takeaways from the July 2026 foreclosure data
ATTOM’s July 2026 U.S. Foreclosure Market Report shows that 39,906 properties nationwide had a foreclosure filing, up 1 percent from the prior month and 10 percent from July 2025. Foreclosure starts increased 10 percent year over year to 26,648, while completed foreclosures (REOs) rose 23 percent to 4,764, extending a broader trend of annual increases. Despite the upward movement, foreclosure activity remains below pre-pandemic norms.

Report methodology
The ATTOM U.S. Foreclosure Market Report provides a count of the total number of properties with at least one foreclosure filing entered into the ATTOM Data Warehouse during the month and quarter. Some foreclosure filings entered into the database during the quarter may have been recorded in the previous quarter. Data is collected from more than 3,000 counties nationwide, and those counties account for more than 99 percent of the U.S. population. ATTOM’s report incorporates documents filed in all three phases of foreclosure: Default — Notice of Default (NOD) and Lis Pendens (LIS); Auction — Notice of Trustee Sale and Notice of Foreclosure Sale (NTS and NFS); and Real Estate Owned, or REO properties (that have been foreclosed on and repurchased by a bank). For the annual, midyear and quarterly reports, if more than one type of foreclosure document is received for a property during the timeframe, only the most recent filing is counted in the report. The annual, midyear, quarterly and monthly reports all check if the same type of document was filed against a property previously. If so, and if that previous filing occurred within the estimated foreclosure timeframe for the state where the property is located, the report does not count the property in the current year, quarter or month.

About ATTOM
ATTOM delivers AI-driven property intelligence built on one of the nation’s most trusted property data assets, covering 160 million U.S. properties—99% of the population. Our engineered, multi-sourced real estate data spans property tax, deeds, mortgages, foreclosure, environmental risk, property conditions, natural hazards, neighborhood insights, and geospatial boundaries, rigorously validated for advanced analytics. ATTOM supports analytics and AI-driven applications through flexible delivery options including APIs, bulk licensing, cloud delivery, and the MCP Server for AI-powered, agentic access to engineered property data—enabling organizations to automate analysis and scale property intelligence across industries.

Media Contact:
Megan Hunt
megan.hunt@attomdata.com

Data and Report Licensing:
949.502.8313
datareports@attomdata.com

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IBM Brings AI-Powered US Open Fan Experience Back to Madison Square Park

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Join IBM for AI-powered tennis activations, live US Open match viewing, giveaways and more during Championship Weekend

NEW YORK, Aug. 27, 2026 /PRNewswire/ — IBM (NYSE: IBM), the official AI and Cloud sponsor of the US Open, is bringing the excitement of the US Open back to the heart of New York City at Madison Square Park Thursday, September 10 – Sunday, September 13.

The free, four-day fan experience will transform Madison Square Park into a central hub  for the US Open, offering AI-powered tennis activations, an immersive live viewing experience, official US Open merchandise, and more throughout Championship Weekend. Attendees can expect to experience:

IBM Serve Speed: A tennis serve simulator that lets attendees see how their serve speed and accuracy stacks up against the pros.   Calling the Shots: IBM’s AI-enabled ping pong tables that allows attendees to test their skills and serves up an AI-powered recap of the match  AI Photobooth: Attendees can snap an AI photo that puts them right inside iconic US Open and NYC personas. 

Since 1992, IBM and the USTA have brought some of the most advanced digital experiences in sports to more than 14 million global tennis fans annually – this year unveiling new enhanced AI-powered innovations, including Live Updates, Serve Quality, and Key Moments

WHEN:               

Thursday, September 10 11:00AM–9:00PM ET – hours of operation

11:00AM – Activations open to public7:00PM – Women’s Singles Semifinals coverage begins
**Preview time for media available from 9:00AM. Contact Zach Rowe at IBM to schedule  (zrowe@ibm.com)

Friday, September 11 9:00 AM–9:00 PM ET – hours of operation

9:00AM – Activations open to public3:00PM – Men’s Singles Semifinals coverage begins

Saturday, September 12 11:00 AM–8:00 PM ET – hours of operation

11:00AM – Activations open to public4:00PM – Women’s Singles Final coverage begins

Sunday, September 13 11:00 AM–7:00 PM ET – hours of operation

11:00AM – Activations open to public2:00PM – Men’s Singles Final coverage begins

WHERE:           

Madison Square Park
The intersection of Fifth Avenue and Broadway at 23rd Street
New York, NY 10010

The pop-up  is located at the South East corner of Madison Square Park, adjacent to IBM’s flagship New York City office at One Madison Avenue.

Media Contact:      

Zach Rowe
IBM Comms,
zrowe@ibm.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/ibm-brings-ai-powered-us-open-fan-experience-back-to-madison-square-park-302861972.html

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